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12,237 results for “2019”

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zenodo40/100

Euroliga 2019-2020. Marcadores y estadísticas.

<p>Se propone para este trabajo la obtenci&oacute;n de dos datasets, el primero con todos los marcadores, partidos y enlaces a estad&iacute;sticas y, el segundo, con el detalle de las propias estad&iacute;sticas para su posterior an&aacute;lisis.</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 49

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 51

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

PROGRAMS project. Robot controller data from Calpak-Cicero Hellas SA on 2019 Week 50

<p>These data were collected from robot controller during solar tanks welding operation.</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

Fig. 59. Cissidium pauxillum Darby, 2019. A. Habitus. B in A revision of Cissidium Motschulsky (Coleoptera: Ptiliidae) with seventy seven new species

Fig. 59. Cissidium pauxillum Darby, 2019. A. Habitus. B. Pronotum, × 590. C. Mesoventrite showing median process of collar, mid-keel and keel, × 810.

opencc-by-4.0Apr 2020View details →
zenodo40/100

Fig. 55. Cissidium marshallae Darby, 2019. A. Habitus. B in A revision of Cissidium Motschulsky (Coleoptera: Ptiliidae) with seventy seven new species

Fig. 55. Cissidium marshallae Darby, 2019. A. Habitus. B. Pronotum, × 640. C. Mesoventrite showing median process of collar, mid-keel, keel and lateral margin, × 750.

opencc-by-4.0Apr 2020View details →
zenodo40/100

Fig. 53. Cissidium longum Darby, 2019. A. Habitus. B in A revision of Cissidium Motschulsky (Coleoptera: Ptiliidae) with seventy seven new species

Fig. 53. Cissidium longum Darby, 2019. A. Habitus. B. Pronotum, × 485. C. Mesoventrite showing median process of collar, mid-keel and keel, × 895.

opencc-by-4.0Apr 2020View details →
zenodo40/100

Fig. 49. Cissidium globulum Darby, 2019. A. Habitus. B in A revision of Cissidium Motschulsky (Coleoptera: Ptiliidae) with seventy seven new species

Fig. 49. Cissidium globulum Darby, 2019. A. Habitus. B. Pronotum, × 450. C. Mesoventrite showing median process of collar, mid-keel, keel and lateral margin, × 470.

opencc-by-4.0Apr 2020View details →
zenodo40/100

Fig. 85. Cissidium triangulum Darby, 2019. A. Habitus. B in A revision of Cissidium Motschulsky (Coleoptera: Ptiliidae) with seventy seven new species

Fig. 85. Cissidium triangulum Darby, 2019. A. Habitus. B. Pronotum, × 555. C. Mesoventrite showing median process of collar, mid-keel and keel, × 575.

opencc-by-4.0Apr 2020View details →
zenodo40/100

Fig. 44. Cissidium subfoveolatum Darby, 2019. A. Habitus. B in A revision of Cissidium Motschulsky (Coleoptera: Ptiliidae) with seventy seven new species

Fig. 44. Cissidium subfoveolatum Darby, 2019. A. Habitus. B. Pronotum, × 485. C. Mesoventrite showing median process of collar, mid-keel and keel, × 455.

opencc-by-4.0Apr 2020View details →
zenodo40/100

BDMYRepository/Coral and substratum monitoring Cayo Arcas 2019 database 1.0

<p>English</p> <p>Coral and substratum monitoring data collected on April 26th to May 4th, 2019 in Cayo Arcas reef, southern Gulf of Mexico. Were sampled 17 sites with depths between 0.8-12.0 m. At each site, two transects (25 m) were placed. The benthic coverage category below the line every 25 cm was registered. Eighteen categories were used to describe the benthic coverage, which were established according to the categories of the Atlantic and Gulf Rapid Reef Assessment (AGRRA) project. At each sampling site, two-band transects 10 m long by 1 m wide were made to scleractinian coral monitoring. Were sampled a total area of 340 m<sup>2</sup>. All colonies greater than 4 cm in length were recorded. We recorded a total of 25 scleractinian coral species.</p> <p>This is part of BDMY (Biodiversidad Marina de Yucatan) lab research.</p> <p>Acknowledgments:</p> <ul> <li>Universidad Nacional Aut&oacute;noma de M&eacute;xico (UNAM).</li> <li>Unidad Multidisciplinaria de Docencia e Investigaci&oacute;n-Sisal, Facultad de Ciencias, UNAM.</li> <li>Harte Charitable Foundation.</li> <li>Harte Research Institute for Gulf of Mexico Studies.</li> <li>Oceanographic Research Station Carmen. 7ma Zona Naval. Direcci&oacute;n General de Investigaci&oacute;n y Desarrollo. Secretar&iacute;a de Marina.</li> <li>BI-04 Antares, Secretar&iacute;a de Marina.</li> <li>Antares Captain BI-04: Cap. Frag. C. G. Jorge Abraham Mart&iacute;nez V&aacute;zquez, Secretar&iacute;a de Marina.</li> <li>Oceanographic Campaign Leader: Tte. Nav. SMAM. Edwalt Hern&aacute;ndez Torralba, Secretar&iacute;a de Marina.</li> </ul> <p>Espa&ntilde;ol</p> <p>Datos de monitoreo de corales y sustrato recolectados del 26 de abril al 4 de mayo en el arrecife Cayo Arcas, sur del Golfo de M&eacute;xico. Se muestrearon 17 sitios con profundidades entre 0.8-12.0 m. Se muestrearon dos transectos (25 m) por sitio. La categor&iacute;a de cubierta bent&oacute;nica bajo la l&iacute;nea fue registrada cada 25 cm. Se utilizaron dieciocho categor&iacute;as para describir la cubierta bent&oacute;nica, que fueron establecidos de acuerdo con las categor&iacute;as del proyecto Atlantic and Gulf Reef Assessment (AGRRA). El monitoreo de corales escleractinios para cada sitio de muestreo se realiz&oacute; mediante dos transectos de banda de 10 m de largo por 1 m de ancho. Se muestre&oacute; un &aacute;rea total de 340m<sup>2</sup>. Se registraron todas las colonias mayores a 4 cm de longitud. Registramos un total de 25 especies de coral escleractinio.</p> <p>Esta informaci&oacute;n es parte del laboratorio de investigaci&oacute;n BDMY (Biodiversidad Marina de Yucat&aacute;n).</p> <p>Agradecimientos:</p> <ul> <li>Universidad Nacional Aut&oacute;noma de M&eacute;xico (UNAM).</li> <li>Unidad Multidisciplinaria de Docencia e Investigaci&oacute;n-Sisal, Facultad de Ciencias, UNAM.</li> <li>Harte Charitable Foundation.</li> <li>Harte Research Institute for Gulf of Mexico Studies.</li> <li>Estaci&oacute;n de Investigaci&oacute;n Oceanogr&aacute;fica Carmen. 7ma Zona Naval. Direcci&oacute;n General de Investigaci&oacute;n y Desarrollo. Secretar&iacute;a de Marina.</li> <li>BI-04 Antares, Secretar&iacute;a de Marina.</li> <li>Capit&aacute;n Antares BI-04: Cap. Frag. C. G. Jorge Abraham Mart&iacute;nez V&aacute;zquez, Secretar&iacute;a de Marina.</li> <li>Jefe de Campa&ntilde;a Oceanogr&aacute;fica: Tte. Nav. SMAM. Edwalt Hern&aacute;ndez Torralba, Secretar&iacute;a de Marina.</li> </ul>

openother-openMay 2020View details →
zenodo40/100

BDMYRepository/Fish monitoring Cayo Arcas 2019 database 1.0

<p>English</p> <p>Ichthyofauna monitoring data collected on April 26<sup>th</sup> to May 4<sup>th</sup>, 2019 in Cayo Arcas reef, southern Gulf of Mexico. Were sampled 15 sites with depths between 2.0-10.5 m. At each site, the monitoring was made with two transects of 25 x 4 m. An area of 3,400 m<sup>2</sup> was covered. A total of 4,558 fish were registered, corresponding to 26 families and 75 species (this count includes the species of invasive damsel <em>Neopomacentrus cyanomos</em>).</p> <p>This is part of BDMY (Biodiversidad Marina de Yucatan) lab research.</p> <p>Acknowledgments:</p> <ul> <li>Universidad Nacional Aut&oacute;noma de M&eacute;xico (UNAM).</li> <li>Unidad Multidisciplinaria de Docencia e Investigaci&oacute;n-Sisal, Facultad de Ciencias, UNAM.</li> <li>Harte Charitable Foundation.</li> <li>Harte Research Institute for Gulf of Mexico Studies.</li> <li>Oceanographic Research Station Carmen. 7ma Zona Naval. Direcci&oacute;n General de Investigaci&oacute;n y Desarrollo. Secretar&iacute;a de Marina.</li> <li>BI-04 Antares, Secretar&iacute;a de Marina.</li> <li>Antares Captain BI-04: Cap. Frag. C. G. Jorge Abraham Mart&iacute;nez V&aacute;zquez, Secretar&iacute;a de Marina.</li> <li>Oceanographic Campaign Leader: Tte. Nav. SMAM. Edwalt Hern&aacute;ndez Torralba, Secretar&iacute;a de Marina.</li> </ul> <p>&nbsp;</p> <p>Espa&ntilde;ol</p> <p>Datos de monitoreo de ictiofauna recolectados del 26 de abril al 4 de mayo en el arrecife Cayo Arcas, sur del Golfo de M&eacute;xico. Se muestrearon 15 sitios con profundidades entre 2.0-10.5 m. Se realizaron dos transectos de 25 x 4 m en cada sitio. Se registr&oacute; un &aacute;rea total de 3,400 m<sup>2</sup>. Se registraron un total de 4,558 peces, que corresponden a 26 familias y 75 especies (dicha cuenta incluye a la especie de damisela invasora <em>Neopomacentrus cyanomos</em>).</p> <p>Esta informaci&oacute;n es parte del laboratorio de investigaci&oacute;n BDMY (Biodiversidad Marina de Yucat&aacute;n).</p> <p>Agradecimientos:</p> <ul> <li>Universidad Nacional Aut&oacute;noma de M&eacute;xico (UNAM).</li> <li>Unidad Multidisciplinaria de Docencia e Investigaci&oacute;n-Sisal, Facultad de Ciencias, UNAM.</li> <li>Harte Charitable Foundation.</li> <li>Harte Research Institute for Gulf of Mexico Studies.</li> <li>Estaci&oacute;n de Investigaci&oacute;n Oceanogr&aacute;fica Carmen. 7ma Zona Naval. Direcci&oacute;n General de Investigaci&oacute;n y Desarrollo. Secretar&iacute;a de Marina.</li> <li>BI-04 Antares, Secretar&iacute;a de Marina.</li> <li>Capit&aacute;n Antares BI-04: Cap. Frag. C. G. Jorge Abraham Mart&iacute;nez V&aacute;zquez, Secretar&iacute;a de Marina.</li> <li>Jefe de Campa&ntilde;a Oceanogr&aacute;fica: Tte. Nav. SMAM. Edwalt Hern&aacute;ndez Torralba, Secretar&iacute;a de Marina.</li> </ul>

openother-openMay 2020View details →
zenodo40/100

JJIF Development & Statistics in the years 2010 - 2019

<p>The following dataset is a digest from the JJIF world ranking list curated by the software Sportdata: http://setopen.sportdata.org/jjifranking/ranking_main.php and older hand-curated ranking lists.&nbsp;</p> <p>Used data:</p> <p>JJIF Raking lists from 31.12 of each year<br> - Not corrected for athletes participating in more than one category/discipline<br> (If an athlete participates in Fighting &amp; Jiu-Jitsu he/she will be counted double)<br> - Duo &amp; Show couples count as one (1) athlete</p> <p>Abbreviations for categories<br> -Discipline: FS = Fighting System; JJ = Jiu-Jitsu/Ne-Waza; DS= Duo System; SS = Show System; CS = Contact Ju-Jitsu</p> <p>-Gender: W = Women; M = Men; X = Mixed</p> <p>- Weight: +94kg is called 95; +70 is called 71</p> <p>&nbsp;</p> <p>Disclaimer:<br> The information provided here is for general informational purposes only. All information on is provided in good faith, however, we make no representation or warranty of any kind, express or implied, regarding the accuracy, adequacy, validity, reliability, availability or completeness of any information.<br> <br> Rightfull owner of the data is the Ju-Jitsu International Federation (JJIF)</p>

opencc-by-4.0May 2020View details →
zenodo40/100

Test Suites from Test-Generation Tools (Test-Comp 2019)

<p>This file describes the contents of an archive of the<br> 1st Competition on Software Testing (Test-Comp 2019)<br> <a href="https://test-comp.sosy-lab.org/2019/">https://test-comp.sosy-lab.org/2019/</a></p> <p>The competition was run by Dirk Beyer, LMU Munich, Germany.<br> More information is available in the following article:<br> Dirk Beyer. First International Competition on Software Testing: Test-Comp 2019.<br> International Journal on Software Tools for Technology Transfer, 2020.</p> <p>Copyright (C) Dirk Beyer<br> <a href="https://www.sosy-lab.org/people/beyer/">https://www.sosy-lab.org/people/beyer/</a></p> <p>SPDX-License-Identifier: CC-BY-4.0<br> <a href="https://spdx.org/licenses/CC-BY-4.0.html">https://spdx.org/licenses/CC-BY-4.0.html</a></p> <p>&nbsp;</p> <p>Contents:</p> <p>LICENSE.txt&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; specifies the license<br> README.txt&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; this file<br> witnessFileByHash/&nbsp; This directory contains test suites (witnesses for coverage).<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Each witness in this directory is stored in a file whose name is the SHA2 256-bit hash<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; of its contents followed by the filename extension .zip.<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The format of each test suite is described on the format web page:<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; https://gitlab.com/sosy-lab/software/test-format<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; A test suite contains also metadata in order to relate it<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; to the test problem for which it was produced.<br> witnessInfoByHash/&nbsp; This directory contains for each test suite (witness) in directory witnessFileByHash/<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; a record in JSON format (also using the SHA2 256-bit hash of the witness as filename,<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; with .json as filename extension) that contains the meta data.<br> witnessListByProgramHashJSON/<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; For convenient access to all test suites for a certain program, this directory represents<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; a function that maps each program (via its SHA2 256-bit hash) to a set of test suites<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; (JSON records for test suites as described above) that the test tools have produced<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; for that program.&nbsp; For each program for which test suites exist, the directory contains<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; a JSON file (using the SHA2 256-bit hash of the program as filename, with .json as<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; filename extension) that contains all JSON records for test suites&nbsp; for that program.</p> <p>A similar data structure was used by SV-COMP and is described in the following article:<br> Dirk Beyer. A Data Set of Program Invariants and Error Paths.<br> In Proceedings of the 2019 IEEE/ACM 16th International Conference on Mining Software Repositories<br> (MSR 2019, Montreal, Canada, May 26-27), pages 111-115, 2019. IEEE.<br> <a href="https://doi.org/10.1109/MSR.2019.00026">https://doi.org/10.1109/MSR.2019.00026</a></p> <p>&nbsp;</p> <p>Overview over archives from Test-Comp 2019 that are available at Zenodo:</p> <p><a href="https://doi.org/10.5281/zenodo.3856669">https://doi.org/10.5281/zenodo.3856669</a>&nbsp;&nbsp; Witness store (containing the generated test suites)<br> <a href="https://doi.org/10.5281/zenodo.3856661">https://doi.org/10.5281/zenodo.3856661</a>&nbsp;&nbsp; Results (XML result files, log files, file mappings, HTML tables)<br> <a href="https://doi.org/10.5281/zenodo.3856478">https://doi.org/10.5281/zenodo.3856478</a>&nbsp;&nbsp; Test tasks, version testcomp19<br> <a href="https://doi.org/10.5281/zenodo.2561835">https://doi.org/10.5281/zenodo.2561835</a>&nbsp;&nbsp; BenchExec, version 1.18</p> <p>All benchmarks were executed<br> for Test-Comp 2019, <a href="https://test-comp.sosy-lab.org/2019/">https://test-comp.sosy-lab.org/2019/</a><br> by Dirk Beyer, LMU Munich<br> based on the components<br> git@github.com:sosy-lab/sv-benchmarks.git&nbsp; testcomp19-0-g6a770a9c1<br> git@gitlab.com:sosy-lab/test-comp/bench-defs.git&nbsp; testcomp19-0-g1677027<br> git@github.com:sosy-lab/benchexec.git&nbsp; 1.18-0-gff72868</p> <p><br> Feel free to contact me in case of questions:<br> <a href="https://www.sosy-lab.org/people/beyer/">https://www.sosy-lab.org/people/beyer/</a></p> <p>&nbsp;</p>

opencc-by-4.0May 2020View details →
zenodo40/100

Results of the 1st International Competition on Software Testing (Test-Comp 2019)

<p>This file describes the contents of an archive of the<br> 1st Competition on Software Testing (Test-Comp 2019)<br> <a href="https://test-comp.sosy-lab.org/2019/">https://test-comp.sosy-lab.org/2019/</a></p> <p>The competition was run by Dirk Beyer, LMU Munich, Germany.<br> More information is available in the following article:<br> Dirk Beyer. First International Competition on Software Testing: Test-Comp 2019.<br> International Journal on Software Tools for Technology Transfer, 2020.</p> <p>Copyright (C) Dirk Beyer<br> <a href="https://www.sosy-lab.org/people/beyer/">https://www.sosy-lab.org/people/beyer/</a></p> <p>SPDX-License-Identifier: CC-BY-4.0<br> <a href="https://spdx.org/licenses/CC-BY-4.0.html">https://spdx.org/licenses/CC-BY-4.0.html</a></p> <p>&nbsp;</p> <p>To browse the competition results with a web browser, there are two options:<br> - start a local web server using<br> &nbsp; php -S localhost:8000<br> &nbsp; in order to view the data in this archive, or<br> - browse <a href="https://test-comp.sosy-lab.org/2019/results/">https://test-comp.sosy-lab.org/2019/results/</a><br> &nbsp; in order to view the data on the Test-Comp web page.</p> <p><br> Contents:</p> <p>index.html&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; directs to the overview web page<br> LICENSE.txt&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; specifies the license<br> README.txt&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; this file<br> results-validated/&nbsp; results of validation runs<br> results-verified/&nbsp;&nbsp; results of verification runs and aggregated results</p> <p><br> The folder results-validated/ contains the results from validation runs:</p> <p>- *.xml.bz2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; XML results from BenchExec<br> - *.logfiles.zip&nbsp;&nbsp;&nbsp; output from tools<br> - *.json.gz&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; mapping from files names to SHA 256 hashes for the file content</p> <p><br> The folder results-verified/ contains the results from test-generation runs and aggregated results:</p> <p>index.html&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; overview web page with rankings and score table<br> design.css&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; HTML style definitions<br> *.xml.bz2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; XML results from BenchExec<br> *.merged.xml.bz2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; XML results from BenchExec, status adjusted according to the validation results<br> *.logfiles.zip&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; output from tools<br> *.json.gz&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; mapping from files names to SHA 256 hashes for the file content<br> *.xml.bz2.table.html&nbsp;&nbsp;&nbsp;&nbsp; HTML views on the detailed results data as generated by BenchExec&#39;s table generator<br> *.All.table.html&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; HTML views of the full benchmark set (all categories) for each tool<br> META_*.table.html&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; HTML views of the benchmark set for each meta category for each tool, and over all tools<br> &lt;category&gt;*.table.html&nbsp;&nbsp; HTML views of the benchmark set for each category over all tools<br> iZeCa0gaey.html&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; HTML views per tool</p> <p>quantilePlot-*&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; score-based quantile plots as visualization of the results<br> quantilePlotShow.gp&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; example Gnuplot script to generate a plot<br> score*&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; accumulated score results in various formats</p> <p><br> The hashes of the file names (in the files *.json.gz) are useful for<br> - validating the exact contents of a file and<br> - accessing the files from the witness store.</p> <p>&nbsp;</p> <p>Overview over archives from Test-Comp 2019 that are available at Zenodo:</p> <p><a href="https://doi.org/10.5281/zenodo.3856669">https://doi.org/10.5281/zenodo.3856669</a>&nbsp;&nbsp; Witness store (containing the generated test suites)<br> <a href="https://doi.org/10.5281/zenodo.3856661">https://doi.org/10.5281/zenodo.3856661</a>&nbsp;&nbsp; Results (XML result files, log files, file mappings, HTML tables)<br> <a href="https://doi.org/10.5281/zenodo.3856478">https://doi.org/10.5281/zenodo.3856478</a>&nbsp;&nbsp; Test tasks, version testcomp19<br> <a href="https://doi.org/10.5281/zenodo.2561835">https://doi.org/10.5281/zenodo.2561835</a>&nbsp;&nbsp; BenchExec, version 1.18</p> <p>All benchmarks were executed<br> for Test-Comp 2019, <a href="https://test-comp.sosy-lab.org/2019/">https://test-comp.sosy-lab.org/2019/</a><br> by Dirk Beyer, LMU Munich<br> based on the components<br> git@github.com:sosy-lab/sv-benchmarks.git&nbsp; testcomp19-0-g6a770a9c1<br> git@gitlab.com:sosy-lab/test-comp/bench-defs.git&nbsp; testcomp19-0-g1677027<br> git@github.com:sosy-lab/benchexec.git&nbsp; 1.18-0-gff72868</p> <p><br> Feel free to contact me in case of questions:<br> <a href="https://www.sosy-lab.org/people/beyer/">https://www.sosy-lab.org/people/beyer/</a></p> <p>&nbsp;</p>

opencc-by-4.0May 2020View details →
zenodo40/100

DS4_LH_ Lodola et al_Sci Adv_2019_Cell Viability

<p>Cell Viability and tubulogenesis assays in dark and light conditions.&nbsp;</p>

opencc-by-4.0Sep 2019View details →
zenodo40/100

DS7_LH_ Lodola et al_Sci Adv_2019_Gene expression Studies

<p>RT-PCR on ECFCs seeded on P3HT and subjected to Light stimulation.&nbsp;</p>

opencc-by-4.0Sep 2019View details →
zenodo40/100

DS3_LH_Tullii et al._ACS Appl. Mater. Interfaces_2019_neurons electrophysiology

<p>Whole-cell current clamp&nbsp;recordings of the electrical activity of&nbsp;neurons plated on P3HT flat and pillars</p>

opencc-by-4.0Jul 2019View details →
zenodo40/100

DS5_LH_Tullii et al._ACS Appl. Mater. Interfaces_2019_immunofluorescence

<p>Neuron&nbsp;synaptic expression analysis; neurons and HEK cells morphological analysis</p>

opencc-by-4.0Jul 2019View details →
zenodo40/100

DS4_LH_Tullii et al._ACS Appl. Mater. Interfaces_2019_cell viability

<p>cell viability assay on HEK cells and neurons plated on P3HT flat and pillars</p>

opencc-by-4.0Jul 2019View details →

ScienceDex guides

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.