2,561 research outputs found
Iluzja źródłowości. Derridiańska krytyka teorii doświadczenia fenomenologicznego
Full text linkMarcin Waligór
Processed measurement data of acceleration of MR fluid-filled cushion gripper on UR3e robot
No full textThe dataset is a supplement to the article that will soon be submitted for review. DESCRIPTION:The dataset consists of Absolute Orientation Sensor (BNO055) measurements during the transportation of an object by a UR3e robot. The trajectory of the robot's movement includes lifting the object to a height of about 200 mm, horizontal displacement for a distance of 400 mm, and lowering by 200 mm. The transfer procedure begins with the closing of the jaws and ends with their opening. The procedure is analogous to the one outlined in the following dataset:Białek, Marcin, 2023, "Processed measurement data on grip forces during object transportation by a robot using gripper with a MR fluid-filled cushions", https://doi.org/10.18150/B2KCKC, RepOD.The experiment was conducted for three values of acceleration and velocity of the robot joints. For each such configuration, 5 handling tests were carried out.LICENSE:The data are under Creative Commons License CC BY. It is though recommended to manipulate along with the author to fully understand the outcomes. If you have any questions do not hesitate to contact: marcin.bialek@put.poznan.plThis research was funded by the National Science Centre, Poland, grant number: 2021/41/N/ST8/02619. https://ror.org/03ha2q922FILE:"dataset.csv" - processed measurement data obtained during the experiment.For proper interpretation, please refer to the images provided in readme files.COLUMNS: - R_Speed[deg/s] - robot joint movement velocity;- R_Acc[deg/s^2] - robot joint movement acceleration;- SAMPLE[-] - sample number. For each object configuration, acceleration and speed, 5 trials were conducted;- TIME[s] - the measurement time at which the force was recorded;- Linear_X[m/s^2] - X axis of linear acceleration data (acceleration minus gravity)- Linear_Y[m/s^2] - Y axis of linear acceleration data (acceleration minus gravity)- Linear_Z[m/s^2] - Z axis of linear acceleration data (acceleration minus gravity)- Orient_X[deg] - X axis orientation data based on a 360° sphere- Orient_Y[deg] - Y axis orientation data based on a 360° sphere- Orient_Z[deg] - Z axis orientation data based on a 360° sphere- Accl_X[m/s^2] - X axis of acceleration (gravity + linear motion)- Accl_Y[m/s^2] - Y axis of acceleration (gravity + linear motion)- Accl_Z[m/s^2] - Z axis of acceleration (gravity + linear motion)</p
Autoethnography, Storytelling, and Life as Lived: A Conversation Between Marcin Kafar and Carolyn Ellis
Full text linkThis conversation takes place in Warsaw. Carolyn Ellis has come to Poland to accompany Jerry
Rawicki, a Warsaw Ghetto survivor, on his first trip back to Poland since the Holocaust. There
she arranged to meet Marcin Kafar, a scholar in Poland who has spent time with her at the University of South Florida in Tampa, Florida. During this visit, Marcin assists Carolyn with video
recording Jerry’s experiences as they visit Holocaust sites, and Jerry remembers and reflects on
his experience. Afterwards, Marcin converses with Carolyn about autoethnography, storytelling,
and the importance of life in the context of searching for ethos by academics
PLoS Open Peer Review Corpus
No full textPLoS Open Peer Review CorpusSection for Logic & Cognitive Science, Institute of Philosophy and Sociology, Polish Academy of ScienceGenerated by Ksawery Jasieński under supervision of Marcin Miłkowski (2022)Public Library of Science (PLoS) journals are committed to open peer review idea, but these are voluntary. They are not available for download in a single package, but they are contained in their huge data dump.The data set contains all available peer reviews as of 16 June 2022 (138 papers with reviews). In addition, the corpus contains metadata about particular reviews, author responses, decision letters and paper metadata in the JSON format. The JSON schema files are available in the schema subdirectory in files with self-explanatory names.The original files were not enriched with any linguistic annotation or converted to any format (these are predominantly PDF, TXT, and DOCX files, as uploaded through the MDPI editorial system by reviewers).Additionally, we are making the filter code available, in the review_crawler directory. For PLoS reviews, plos_crawler.py should be used (more notes in the subdirectory).The files are being made available under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).</p
MDPI Open Peer Review Corpus
No full textMDPI Open Peer Review CorpusSection for Logic & Cognitive Science, Institute of Philosophy and Sociology, Polish Academy of ScienceGenerated by Ksawery Jasieński under supervision of Marcin Miłkowski (2022)MDPI is committed to open peer review idea, but these are voluntary. They are not available for download in a single package, so they must be crawled from their website.The data set contains all available peer reviews as of 16 June 2022 (123 papers with reviews). In addition, the corpus contains metadata about particular reviews, author responses and paper metadata in the JSON format. The JSON schema files are available in the schema subdirectory in files with self-explanatory names.The original files were not enriched with any linguistic annotation or converted to any format (these are predominantly PDF, TXT, and DOCX files, as uploaded through the MDPI editorial system by reviewers).Additionally, we are making the crawler code available, in the review_crawler directory. For MDPI reviews, mdpi_crawler.py should be used (more notes in the subdirectory).The files are being made available under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).</p
- …
