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28,480 results for “group”
Artifacts for ASE 2022 Paper -- FuzzerAid: Grouping Fuzzed Crashes Based On Fault Signatures
<p><strong>Artifacts for FuzzerAid: Grouping Fuzzed Crashes Based On Fault Signatures</strong></p> <p>Fuzzing has been an important approach for finding bugs and vulnerabilities in programs. Many fuzzers deployed in industry run daily and can generate an overwhelming number of crashes. Diagnosing such crashes can be very challenging and time consuming. Existing fuzzers typically employ heuristics such as code coverage or call stack hashes to weed out duplicate reporting of bugs. While these heuristics are cheap, they are often imprecise and end up still reporting many "unique" crashes corresponding to the same bug. In this paper, we present <em>FuzzerAid</em> that uses <em>fault signatures</em> to group crashes reported by the fuzzers. Fault signature is a small executable program and consists of a selection of necessary statements from the original program that can reproduce a bug. In our approach, we first generate a fault signature using a given crash. We then execute the fault signature with other crash inducing inputs. If the failure is reproduced, we classify the crashes into the group labeled with the fault signature; if not, we generate a new fault signature. After all the crash inducing inputs are classified, we further merge the fault signatures of the same root cause into a group. We implemented our approach in a tool called <em>FuzzerAid</em> and evaluated it on 3020 crashes generated from 15 real-world bugs and 4 large open source projects. Our evaluation shows that we are able to correctly group 99.1% of the crashes and reported only 17 (+2) "unique" bugs, outperforming the state-of-the-art fuzzers.</p> <p> </p> <p><strong>Change log for v1.0.1:</strong></p> <p>Fix wrong Bug ID for <em>sqlite</em> and add README clarification.</p> <p><strong>Change log for v1.0.2:</strong></p> <p>Added an example linking data in the repository to the table.</p>
FolkArtiNet: Folk music groups: their artistic practice and infrastructural needs in the COVID-19 era and beyond - survey data
<p> The online survey was one of three methods used for collecting information about the infrastructural needs of the folk music groups. It included a series of questions about different areas of artistic activity, such as working on repertoire, collaboration among group members, storage and sharing of data, and organization of artistic events. The survey data includes all questions and answers in csv format.</p>
OpenAIRE and FAIR Data Expert Group survey about Horizon 2020 template for Data Management Plans
<p>This dataset is published in 2017 by the OpenAIRE project and the FAIR Data Expert Group.</p> <p>It contains two survey data files, two pdf-files summarising the results in a report and an infographic, and a Readme.txt file.</p> <p>The OpenAIRE project supports the open science ambitions of the European Commission. The project and in particular the Research Data Management team provide support, training and information on the Open Research Data Pilot. In this context, a survey was carried out to collect feedback on the Horizon 2020 template for Data Management Plans (DMPs). The team collaborated with the FAIR data expert group, which is providing recommendations to the European Commission on turning FAIR data into reality. One of the specific tasks of the Expert Group is contributing to an evaluation of the Horizon 2020 approach to DMPs, including future revisions of the template and the development of additional sector/ discipline-specific guidance. The aim of the survey was to collect experiences of researchers and DMP reviewers with the DMP template and guidelines on FAIR data management in Horizon 2020. The survey assesses the usefulness of the guidelines and any aspects that are confusing and unclear to determine what improvements can be made.</p> <p>Feedback was sought from both researchers and research support staff. The survey was initially scheduled to run from 22 May to 21 June 2017. Several organisations were asked to help announce the survey, including OpenAIRE’s National Open Access Desks, the FAIR data expert group, FOSTER, LIBER, and the RDA Interest Group on Active DMPs. When the first survey responses showed only a small share of researchers, more stakeholders were contacted to specifically target this community. The European Research Area was approached, whose project officers circulated the survey call among award holders of EC projects. Early-career researchers were also informed through the YEAR network and EURODOC. This resulted in an extension of the survey to 21 July 2017.</p> <p>At the close of the survey on 21 July 2017, a total number of 289 responses were reached. 50% of the respondents indicated that they were researchers, and 60% that they were (also) research support staff. OpenAIRE and the FAIR data expert group are very pleased with this balanced outcome and would like to thank all colleagues and organisations who promoted the survey, as well as everyone who took part in it.</p> <p> </p>
Q-SORT - Group Photo+Logo
<p>Q-SORT and DIP projects held an international conference on electron beam shaping in Jülich (Germany) - Group photo 1 + Logo (overlaid)</p>
Predicted USDA soil great groups at 250 m (probabilities)
<p>Distribution of the USDA soil great groups based on machine learning predictions from global compilation of soil profiles (>350,000 training points). To learn more about soil great groups please refer to the <a href="https://www.nrcs.usda.gov/wps/PA_NRCSConsumption/download/?cid=stelprdb1247203.pdf">Illustrated Guide to Soil Taxonomy - NRCS - USDA</a>. Processing steps are described in detail <strong><a href="https://gitlab.com/openlandmap/global-layers/tree/master/soil">here</a></strong>. Antarctica is not included.</p> <p>To access and visualize maps use: <a href="http://www.openlandmap.org/">OpenLandMap.org</a></p> <p>A back-up copy of all predictions (>65GB) can be downloaded from: <a href="http://gofile.me/6J25n/mQ3cHOOMr">http://gofile.me/6J25n/mQ3cHOOMr</a></p> <p>If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels:</p> <ul> <li>Technical issues and questions about the code: <a href="https://gitlab.com/openlandmap/global-layers/issues">https://gitlab.com/openlandmap/global-layers/issues</a> </li> <li>General questions and comments: <a href="https://disqus.com/home/forums/landgis/">https://disqus.com/home/forums/landgis/</a></li> </ul> <p>All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:</p> <ul> <li>sol = theme: soil,</li> <li>grtgroup = variable: USDA great group,</li> <li>usda.argiustolls = determination method: USDA soil taxonomy class Argiustolls,</li> <li>p = probability,</li> <li>250m = spatial resolution / block support: 250 m,</li> <li>s0..0cm = vertical reference: soil surface,</li> <li>1950..2017 = time reference: period 1950-2017,</li> <li>v0.2 = version number: 0.2,</li> </ul>
The Archaeological Ceramics from Mahurjhari: the Fabric Groups
<p>A descriptive and illustrated list of the fabric groups identified and defined during the analysis of archaeological ceramics in the excavated assmeblage from the site at Mahurjhari, excavated by the Deccan College, Pune 2000-2003.</p>
Brazilian Zoology Group 2023
<p>This list provides information on <strong>all</strong> the <strong>authors and coordinators of taxa of the Taxonomic Catalog of the Brazilian Fauna (TCBF), active between 2013-2023.</strong> </p> <p>Furthermore, all Authors/Coordinators have been invited (via Google Forms) to serve as authors of the manuscript entitled <strong>Catálogo Taxonômico da Fauna do Brasil</strong><strong>: setting the baseline knowledge on the animal diversity in Brazil, </strong>authored by: Walter A Boeger, Michel P Valim, Hussam Zaher, José Albertino Rafael, Rafaela Campostrini Forzza, Alexandre R Percequillo, Cristiana S Serejo, and Brazilian Zoology Group 2023 (BZG 2023) submitted to Zoologia and the answer is presented in <strong>column G ("AUTHOR MANUSCRIPT?")</strong>. While the majority accepted authorship of the manuscript, few answered negatively and others did not reply (and, hence, were not included in the authorship of the manuscript). We provide available inidividual ORCID, Institution, Country, Function, and taxon of responsability.</p> <p>The TCFB is the product of the effort of more than 800 zoologists, experts in many different groups of animals with species that inhabit the Brazilian territory. Since the start of the Project, the Taxonomic Catalog of the Brazilian Fauna (TCBF) team has been working in an integrated manner to generate the first list of valid species found in the country. So far, our list accounts for more species than ever reported for the Brazilian territory, and for the first time we have a robust estimate of the richness of animals in the country! The work of our experts was extensive and this list would not have been possible without them. Visit the "tabs" and learn a little more about the members of our team, coordinators, authors, and institutions involved.<br><br>The list is available for consultation by anyone, but we must emphasize that due to the narrow time, not all data on each species (eg. distribution, the habit of life, environment) were introduced into the system. The system is dynamic and allows additions and corrections in real-time, rapid inclusion of newly discovered species, corrections associated with nomenclatural decisions, and distribution expansion, among others. Hopefully, soon, this site will provide also tools that will present much more information on Brazilian animals.</p> <p>The updated database of the TCBF can be obtained through the website (<a href="http://fauna.jbrj.gov.br/fauna" target="_blank" rel="noopener">http://fauna.jbrj.gov.br/fauna</a>), <a href="https://dspace.jbrj.gov.br/jspui/bitstream/doc/124/1/Web%20Service%20Cat%c3%a1logo%20Taxon%c3%b4mico%20da%20Fauna%20do%20Brasil.pdf" target="_blank" rel="noopener">API-REST</a>, and monthly versions of the list through <a href="https://ipt.jbrj.gov.br/jbrj/resource?r=catalogo_taxonomico_da_fauna_do_brasil" target="_blank" rel="noopener">IPT</a>. </p> <p><em>Catálogo Taxonômico da Fauna do Brasil</em> (<em>CTFB</em>) - link: http://fauna.jbrj.gov.br/fauna</p>
Barmur Group Cross Section High Quality
<p>Virtual outcrop model and structural interpretation. (<strong>a</strong>) Bárðarson’s (1925) original coastal section featuring the 25 marine horizons (beds 1 – 25) and 10 terrestrial horizons (beds A – J). (<strong>b</strong>) The modern analogue to Bárðarson’s coastal section created using the virtual outcrop model. The 24 key horizons used in the creation of the coastal cross-section are highlighted in this panel. F1 – F31, faults featured in the fitting the modelled stratigraphy to the virtual outcrop model. Exposure used in quantifying model fit are highlighted, orange lines represent the back projection of cross-section stratigraphy onto the virtual outcrop model used in assessing fit. (<strong>c</strong>) the coastal cross-section constructed using Petroleum Expert's MOVE software using the stratigraphical classifications of Eiríksson & Símonarson (2021).</p> <p>Also given are the Agisoft Metashape batch processing files used in the generation of the virtual outcrop model. </p>
Creative Flow in Dance: Consensual Assessment of Creative Outcomes of Dance Group Improvisation
<p>Group flow refers to peak experience when a group is performing at its highest level of abilities. This study examined the relationship between the group flow experience of an improvising group of contemporary dancers and their creative outcomes evaluated by the consensual assessment method (CAT). The dataset consists of the data and analysis used in the "Creative Flow in Dance: Consensual Assessment of Creative Outcomes of Dance Group Improvisation (in press)."</p> <p>First, eight groups of four dancers were recruited to perform improvised dance scores for video recordings. The low and high-flow improvisations videoclips were selected based on dancers’ reports in the video-stimulated recall method, Flow (Łucznik, May, 2021). Subsequently, these videoclips were rated by 77 experts and 126 nonexperts using CAT on five dimensions: aesthetic appeal, technique demands, meaningfulness, coherence /collaboration of the group, and creativity.</p> <p>Experts rated high-flow improvisations as more creative than the low-flow ones. In comparison, nonexperts’ ratings of high and low-flow improvisation did not differ, although the reliability measures of nonexperts creativity judgments were noticeably lower than in the expert group. Regardless of expertise, creativity judgments were significantly related to all other CAT factors: aesthetic appeal, technique, meaningfulness and coherence of improvisation. The results provide evidence that group flow leads to higher creativity. Moreover, they suggest that subjective judgments of creativity of performance arts cannot be easily separated from judgments of their technical level, aesthetic appeal, meaningfulness or coherence of the group.</p>
Indicative distribution map for Ecosystem Functional Group T4.4 Temperate woodlands
<p>This archive contains indicative distribution maps and profiles for <strong>T4.4 Temperate woodlands</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Indicative distribution map for Ecosystem Functional Group M3.1 Continental and island slopes
<p>This archive contains indicative distribution maps and profiles for <strong>M3.1 Continental and island slopes</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Indicative distribution map for Ecosystem Functional Group F1.2 Permanent lowland rivers
<p>This archive contains indicative distribution maps and profiles for <strong>F1.2 Permanent lowland rivers</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Indicative distribution map for Ecosystem Functional Group F2.2 Small permanent freshwater lakes
<p>This archive contains indicative distribution maps and profiles for <strong>F2.2 Small permanent freshwater lakes</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Indicative distribution map for Ecosystem Functional Group M2.1 Epipelagic ocean waters
<p>This archive contains indicative distribution maps and profiles for <strong>M2.1 Epipelagic ocean waters</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Indicative distribution map for Ecosystem Functional Group T2.5 Temperate pyric humid forests
<p>This archive contains indicative distribution maps and profiles for <strong>T2.5 Temperate pyric humid forests</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Indicative distribution map for Ecosystem Functional Group M2.5 Sea ice
<p>This archive contains indicative distribution maps and profiles for <strong>M2.5 Sea ice</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Indicative distribution map for Ecosystem Functional Group T7.1 Annual croplands
<p>This archive contains indicative distribution maps and profiles for <strong>T7.1 Annual croplands</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Indicative distribution map for Ecosystem Functional Group T6.1 Ice sheets, glaciers and perennial snowfields
<p>This archive contains indicative distribution maps and profiles for <strong>T6.1 Ice sheets, glaciers and perennial snowfields</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Indicative distribution map for Ecosystem Functional Group T1.1 Tropical/Subtropical lowland rainforests
<p>This archive contains indicative distribution maps and profiles for <strong>T1.1 Tropical/Subtropical lowland rainforests</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Indicative distribution map for Ecosystem Functional Group T2.6 Temperate pyric sclerophyll forests and woodlands
<p>This archive contains indicative distribution maps and profiles for <strong>T2.6 Temperate pyric sclerophyll forests and woodlands</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</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.