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6,704 results for “reports”
Scalasca analysis report of the ASCI Sweep3D benchmark on 65,536 processes in virtual-node mode on IBM Blue Gene/P
<p>A Cube3 performance analysis report written by the Scalasca Trace Analyzer of a measurement of the ASCI benchmark Sweep3D, executed in virtual-node mode on 65,536 processes of the IBM Blue Gene/P system JUQUEEN, operated by Forschungszentrum Jülich GmbH.</p>
Scalasca analysis report of the ASCI Sweep3D benchmark on 294,912 processes in virtual-node mode on IBM Blue Gene/P
<p>A Cube3 performance analysis report written by the Scalasca parallel analyzer of a measurement of the ASCI benchmark Sweep3D, executed in virtual-node mode on 294,912 processes of the IBM Blue Gene/P system JUQUEEN, operated by Forschungszentrum Jülich GmbH.</p>
MarTREC Data Set for Report: Economic Impact of the GIWW on the States It Serves
<p>Data set used for the report, "Economic Impact of the Gulf Intracoastal Waterway on the States It Serves". The purpose of the report was to examine the economic impact of the GIWW on the five states it serves: Texas, Louisiana, Mississippi, Alabama, and Florida. This project involved several research tasks. First, researchers estimated the economic impact of the GIWW by looking specifically at the impact of the commodities using the GIWW in the relevant coastal counties in each of these five states. Once this task was completed, researchers then estimated the impact of the GIWW on other modes, modeling the possible adverse impacts that would result if the GIWW were to become permanently unavailable and shippers would instead have to use the next economically feasible transportation mode. Researchers examined the cost of shifting additional traffic to other modes of transportation.</p>
World Happiness Report
<p>The World Happiness Report is a landmark survey of the state of global happiness. The first report was published in 2012, the second in 2013, the third in 2015, and the fourth in the 2016 Update. The World Happiness 2017, which ranks 155 countries by their happiness levels, was released at the United Nations at an event celebrating International Day of Happiness on March 20th. The report continues to gain global recognition as governments, organizations and civil society increasingly use happiness indicators to inform their policy-making decisions. Leading experts across fields – economics, psychology, survey analysis, national statistics, health, public policy and more – describe how measurements of well-being can be used effectively to assess the progress of nations. The reports review the state of happiness in the world today and show how the new science of happiness explains personal and national variations in happiness.</p> <p>The happiness scores and rankings use data from the Gallup World Poll. The scores are based on answers to the main life evaluation question asked in the poll. This question, known as the Cantril ladder, asks respondents to think of a ladder with the best possible life for them being a 10 and the worst possible life being a 0 and to rate their own current lives on that scale. The scores are from nationally representative samples for the years 2013-2016 and use the Gallup weights to make the estimates representative. The columns following the happiness score estimate the extent to which each of six factors – economic production, social support, life expectancy, freedom, absence of corruption, and generosity – contribute to making life evaluations higher in each country than they are in Dystopia, a hypothetical country that has values equal to the world’s lowest national averages for each of the six factors. They have no impact on the total score reported for each country, but they do explain why some countries rank higher than others.</p>
Aligned DNA sequence matrix for phylogenetic analyses of the article "A bizarre new species of Lynchius (Amphibia, Anura, Strabomantidae) from the Andes of Ecuador and first report of Lynchius parkeri in Ecuador"
<p>Aligned DNA sequence matrix for phylogenetic analyses of the article "A bizarre new species of <em>Lynchius</em> (Amphibia, Anura, Strabomantidae) from the Andes of Ecuador and first report of <em>Lynchius parkeri</em> in Ecuador"</p> <p>The matrix is in NEXUS format. Genes are arranged as follows:</p> <p>RAG1: 1-652<br> Tyrosinase: 653-1195<br> 12S RNA: 1196-2242<br> tRNA Val: 2243-2313<br> 16S RNA: 2314-3994<br> tRNA Leu = 3995-4065<br> ND1: 4066-5026<br> tRNA Ile: 5027-5144;</p>
Tables, Figures and Country Datasets complementing the European Union Summary Report on Zoonoses and Food-borne Outbreaks 2017
<p>All summary tables and figures produced for the European Union Summary Report on Zoonoses and Food-borne Outbreaks 2017 are provided.</p> <p>The Appendix file (Excel file) allows the user to filter by chapter the corresponding summary tables and figures with their abbreviated file name and titles.</p> <p>Lastly, all country data are published as supporting information to this report.</p>
The Delta Maintainability Model: Measuring Maintainability of Fine-Grained Code Changes Technical Report
<p>Technical Report and dataset for "The Delta Maintainability Model: Measuring Maintainability of Fine-Grained Code Changes" submitted to the 2nd International Conference on Technical Debt (TechDebt 2019) - Montréal, Canada - May 26–27, 2019.</p>
The futures of 193 Popular Financial Reporting of Awards Program 2017 and social economic elements
<p>Dataset The futures of 193 Popular Financial Reporting of Awards Program 2017 and social economic elements</p>
Excel mapping tools for 2018 zoonoses data reporting
<p>The main objective of the mapping tool is to provide a simple and useable platform for MSs to map their country-specific standard terminology to that used by EFSA and to enable the production of an XML file for the submission of sample or aggregated-based zoonoses monitoring data via the DCF.</p> <p>The catalogues and the specific hierarchy of each data model (AMR, ESBL, PRV, FBO, POP and DST) are already inserted into each of the specific mapping tool. Specific Excel mapping tools correspond to each of the six data models are available.</p> <p>You can choose between the dynamic or the manual version of the tool.</p>
Supporting publication for 'Guidelines for reporting 2018 prevalence sample-based data in accordance with SSD2 data model'
<p>These two Excel documents help you to map terms from the matrix catalogue ZOO_CAT_MATRIX used in the aggregated prevalence data model to FoodEx2 codes and offer you examples on how prevalence data can be reported using SSD2</p>
Replication Package for "Automated Reporting of Anti-Patterns and Decay in Continuous Integration"
<p>This is the replication package for the paper "Automated Reporting of Anti-Patterns and Decay in Continuous Integration" accepted for publication at <a href="https://2019.icse-conferences.org/track/icse-2019-Technical-Papers#event-overview">ICSE 2019 (Technical Track)</a>.</p> <p>We include all the artifacts necessary to replicate the results obtained in our paper. Specifically, we provide (i) all the scripts used to conduct our statistical tests and to process the data obtained from our surveys, (ii) the queries used to perform the project selection, (iii) and a runnable version of our CI anti-patterns detection tool along with the external source code used to quantify the presence of CI anti-patterns in our dataset.<br> Furthermore, we provide raw and processed data from our surveys and data (build logs and repositories) that can be used as input to our detection pipeline. We also include a Docker container image with a working environment containing the artifacts.</p> <p>Preprint of corresponding paper is available <a href="http://doi.org/10.5281/zenodo.2578271">here</a>.</p>
Synchytrium endobioticum ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests
<p>These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 <em>on protective measures against pests of plants</em>.</p> <p>Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets.</p> <p>EFSA wishes to acknowledge the contribution of Trond Rafoss, Gregor Urek, Dirkjan van der Gaag to the EKE and the review conducted by Jonathan Yuen.</p>
Thaumatotibia leucotreta ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests
<p>These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 <em>on protective measures against pests of plants</em>.</p> <p>Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets.</p> <p>EFSA wishes to acknowledge the contribution of Marja van der Straten to the EKE and the review conducted by Lucia Zappalà.</p>
Ralstonia solanacearum ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests
<p>These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 <em>on protective measures against pests of plants</em>.</p> <p>Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets.</p> <p> EFSA wishes to acknowledge the contribution of Marie-Agnes Jacques, Trond Rafoss, Gregor Urek, Dirkjan van der Gaag, Jonathan Yuen to the EKE and the review conducted by Christian Vernière.</p>
Popillia japonica ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests
<p>These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 <em>on protective measures against pests of plants</em>.</p> <p>Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets.</p> <p>EFSA wishes to acknowledge the contribution of Giovanni Bosio, Mariangela Ciampitti, Dirkjan van der Gaag to the EKE and the review conducted by Chris MacQuarrie.</p>
Xanthomonas citri ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests
<p>These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 <em>on protective measures against pests of plants</em>.</p> <p>Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets.</p> <p>EFSA wishes to acknowledge the contribution of Jaime Cubero, Trond Rafoss, Christian Vernière, Antonio Vicent to the EKE and the review conducted by Marie-Agnès Jacques.</p>
Dendrolimus sibiricus ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests
<p>These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 <em>on protective measures against pests of plants</em>.</p> <p>Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets.</p> <p>EFSA wishes to acknowledge the contribution of Trond Rafoss and Jean-Claude Gregoire to the EKE and the review conducted by Claire Rutledge.</p>
Bursaphelenchus xylophilus ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests
<p>These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 <em>on protective measures against pests of plants</em>.</p> <p>Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets.</p> <p>EFSA wishes to acknowledge the contribution of Hugh Evans and Christer Magnusson to the EKE and the review conducted by Gregor Urek.</p>
Ceratocystis fagacearum ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests
<p>These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 <em>on protective measures against pests of plants</em>.</p> <p>Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets.</p> <p>EFSA wishes to acknowledge the contribution of Anna Maria Vettraino to the EKE and the review conducted by Christer Magnusson.</p>
Conotrachelus nenuphar ̶ Pest Report and Datasheet to support ranking of EU candidate priority pests
<p>These two files are part of the outputs produced under the mandate <a href="http://registerofquestions.efsa.europa.eu/roqFrontend/wicket/page?1-1.ILinkListener-contentPane-listContainer-pageable-21-mandateNumberLnk">M-2017-0056</a> of the European Commission requesting EFSA for technical assistance in the field of quarantine pests qualifying as priority pests as by Article 6(2) of the Regulation (EU) 2016/2031 <em>on protective measures against pests of plants</em>.</p> <p>Under the mandate EFSA produced: i) 1 methodology report (DOI available at the field "Related/alternate identifiers"), ii) 28 datasheets, one for each of the 28 candidate pests, and iii) 28 pest reports supporting the information provided in the datasheets.</p> <p>EFSA wishes to acknowledge the contribution of Clement Akotsen-Mensah, Vicente Dalmau, Lluís Vila to the EKE and the review conducted by Josep Anton Jaques Miret.</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.