cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4292106
title: "Groupitizing": a strategy for numerosity estimation

description: Each file contains a matrix called “matr”. Each row of the matrix “matr” is a trial. The columns contain the following information: subject response the presented numerosity subject response zeros stimulus duration Response time Grouped (1) or random (2) presentation 1 1 Number of items of the upper-left quadrant Number of items of the lower-left quadrant Number of items of the upper-right quadrant Number of items of the lower - right quadrant
DOI: 10.5281/zenodo.4292105
title: "Groupitizing": a strategy for numerosity estimation

description: Each file contains a matrix called “matr”. Each row of the matrix “matr” is a trial. The columns contain the following information: subject response the presented numerosity subject response zeros stimulus duration Response time Grouped (1) or random (2) presentation 1 1 Number of items of the upper-left quadrant Number of items of the lower-left quadrant Number of items of the upper-right quadrant Number of items of the lower - right quadrant
DOI: 10.15468/x59ssn
title: Two genera Campyloneurus Szépligeti and Iphiaulax Foerster in China, with the descriptions of fourteen new species (Hymenoptera, Braconidae, Braconinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Li, Yang, Achterberg, Cornelis Van, Chen, Xue-Xin (2020): Two genera Campyloneurus Szépligeti and Iphiaulax Foerster in China, with the descriptions of fourteen new species (Hymenoptera, Braconidae, Braconinae). Zootaxa 4884 (1): 1-67, DOI: https://doi.org/10.11646/zootaxa.4884.1.1
DOI: 10.5281/zenodo.4292117
title: Grouping strategies in number estimation extend the subitizing range

description: In the calculation folder: each file contains a matrix called “MATR”. Each row of the matrix “MATR” is a trial. The columns contain the following information: 1<sup>st</sup>: Number of trial 2<sup>nd: Subject response</sup> 4<sup>th</sup>: Response time 5<sup>th</sup>: first number 6<sup>th</sup>: math symbol (1=*; 2= +; 3= –) 7<sup>th</sup>: second number 8<sup>th</sup>: third number In the calculation folder: each file contains a matrix called “matr”. Each row of the matrix “matr” is a trial. The columns contain the following information: 1<sup>st</sup>: subject response in the numerosity task 2<sup>nd</sup>: the presented numerosity 3<sup>rd</sup>: subject response in the numerosity task 4<sup>th</sup>: zero 5<sup>th</sup>: stimulus duration 6<sup>th</sup>: Response time in the numerosity task 7<sup>th</sup>: Grouped (1) or random (2) presentation 8<sup>th</sup>: 1 9<sup>th</sup>: 1 10<sup>th</sup>: Number of items of the upper-left quadrant 11<sup>th</sup>: Number of items of the lower-left quadrant 12<sup>th</sup>: Number of items of the upper-right quadrant 13<sup>th</sup>: Number of items of the lower - right quadrant 14<sup>th</sup>: odd shape presented (1=diamond; 2=triangle; 3=circle) 15<sup>th</sup>: subject response in the shape task 16<sup>th</sup>: 0.2 in the single task response time in the shape task when dual task 17<sup>th</sup>: single (0) or dual (1) task 18<sup>th</sup>: time stimulus on 19<sup>th</sup>: time stimulus off
DOI: 10.5281/zenodo.4292116
title: Grouping strategies in number estimation extend the subitizing range

description: In the calculation folder: each file contains a matrix called “MATR”. Each row of the matrix “MATR” is a trial. The columns contain the following information: 1<sup>st</sup>: Number of trial 2<sup>nd: Subject response</sup> 4<sup>th</sup>: Response time 5<sup>th</sup>: first number 6<sup>th</sup>: math symbol (1=*; 2= +; 3= –) 7<sup>th</sup>: second number 8<sup>th</sup>: third number In the calculation folder: each file contains a matrix called “matr”. Each row of the matrix “matr” is a trial. The columns contain the following information: 1<sup>st</sup>: subject response in the numerosity task 2<sup>nd</sup>: the presented numerosity 3<sup>rd</sup>: subject response in the numerosity task 4<sup>th</sup>: zero 5<sup>th</sup>: stimulus duration 6<sup>th</sup>: Response time in the numerosity task 7<sup>th</sup>: Grouped (1) or random (2) presentation 8<sup>th</sup>: 1 9<sup>th</sup>: 1 10<sup>th</sup>: Number of items of the upper-left quadrant 11<sup>th</sup>: Number of items of the lower-left quadrant 12<sup>th</sup>: Number of items of the upper-right quadrant 13<sup>th</sup>: Number of items of the lower - right quadrant 14<sup>th</sup>: odd shape presented (1=diamond; 2=triangle; 3=circle) 15<sup>th</sup>: subject response in the shape task 16<sup>th</sup>: 0.2 in the single task response time in the shape task when dual task 17<sup>th</sup>: single (0) or dual (1) task 18<sup>th</sup>: time stimulus on 19<sup>th</sup>: time stimulus off
DOI: 10.5281/zenodo.4296178
title: Pupillary response to representations of light in paintings

description: “.mat” files contain: <strong>BUF2:</strong> Recording during fixation slide (column 1: time; column 2: right pupil width; column 3: right pupil height; column 4: left pupil width; column 5: left pupil height; column 6: glint data from right eye; column 7: glint data from right eye; column 8: image number) <strong>BUF</strong>: Recording during stimulus presentation (same columns of BUF2) <strong>c</strong>: block’s specifics (eye-tracker information, trials number and duration, start and end times of eye-tracker registrations) <strong>smile</strong>: images code <strong>Response</strong>: block’s information (first column: stimulus presentation time; variable number of other columns: smile variable; last column: trials number);
DOI: 10.5281/zenodo.4296177
title: Pupillary response to representations of light in paintings

description: “.mat” files contain: <strong>BUF2:</strong> Recording during fixation slide (column 1: time; column 2: right pupil width; column 3: right pupil height; column 4: left pupil width; column 5: left pupil height; column 6: glint data from right eye; column 7: glint data from right eye; column 8: image number) <strong>BUF</strong>: Recording during stimulus presentation (same columns of BUF2) <strong>c</strong>: block’s specifics (eye-tracker information, trials number and duration, start and end times of eye-tracker registrations) <strong>smile</strong>: images code <strong>Response</strong>: block’s information (first column: stimulus presentation time; variable number of other columns: smile variable; last column: trials number);
DOI: 10.5281/zenodo.4296205
title: Adaptation to hand-tapping affects sensory processing of numerosity directly: evidence from reaction times and confidence

description: Each file contains a matrix called “MatriceRisultati”. Each row of the matrix “MatriceRisultati” is a trial. The columns contain the following information: 1<sup>st</sup>: Number of trial 2<sup>nd</sup>: Test numerosity 3<sup>rd</sup>: Subject response on numerosity 4<sup>th</sup>: Subject response on their confidence level 5<sup>th</sup>: Response time 6<sup>th</sup>: 0 if the test numerosity&lt; 16; 1 if the test numerosity&gt; 16
DOI: 10.5281/zenodo.4296204
title: Adaptation to hand-tapping affects sensory processing of numerosity directly: evidence from reaction times and confidence

description: Each file contains a matrix called “MatriceRisultati”. Each row of the matrix “MatriceRisultati” is a trial. The columns contain the following information: 1<sup>st</sup>: Number of trial 2<sup>nd</sup>: Test numerosity 3<sup>rd</sup>: Subject response on numerosity 4<sup>th</sup>: Subject response on their confidence level 5<sup>th</sup>: Response time 6<sup>th</sup>: 0 if the test numerosity&lt; 16; 1 if the test numerosity&gt; 16
DOI: 10.6084/m9.figshare.13213724.v1
title: GSS and GSH

description: GSS: Global Subsidence Susceptibility mapGHS: Global Hazard Susceptibility map
DOI: 10.6084/m9.figshare.13299191
title: Supplementary Information to Empirical evidence for concerted evolution in the 18S rDNA region of the planktonic diatom genus Chaetoceros

description: Input data for phylogenetic haplotype networks
DOI: 10.6084/m9.figshare.13299191.v1
title: Supplementary Information to Empirical evidence for concerted evolution in the 18S rDNA region of the planktonic diatom genus Chaetoceros

description: Input data for phylogenetic haplotype networks
DOI: 10.15468/uyc7q4
title: Brazilian Diplosmittia Saether: D. trifida sp. n. and new records of D. plaumanni Pinho, Mendes & Andersen, 2009 (Diptera: Chironomidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Shimabukuro, Erika Mayumi, Lamas, Carlos José Einicker, Pinho, Luiz Carlos (2020): Brazilian Diplosmittia Saether: D. trifida sp. n. and new records of D. plaumanni Pinho, Mendes & Andersen, 2009 (Diptera: Chironomidae). Zootaxa 4885 (1): 139-142, DOI: https://doi.org/10.11646/zootaxa.4885.1.10
DOI: 10.15468/jxvdqc
title: Notes on the taxonomy of some “ Astaena ” species described by Burmeister (Coleoptera: Scarabaeidae: Melolonthinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Pacheco, Thaynara L., Monné, Marcela L., Vaz-De-Mello, Fernando Z., Ahrens, Dirk (2020): Notes on the taxonomy of some “ Astaena ” species described by Burmeister (Coleoptera: Scarabaeidae: Melolonthinae). Zootaxa 4885 (1): 143-145, DOI: https://doi.org/10.11646/zootaxa.4885.1.11
DOI: 10.6084/m9.figshare.13299209
title: Spagnolli et al COMMSBIO (Source Data).rar

description: Source data underlying the graphs and charts presented in the (.zip file)
DOI: 10.6084/m9.figshare.13299209.v1
title: Spagnolli et al COMMSBIO (Source Data).rar

description: Source data underlying the graphs and charts presented in the (.zip file)
DOI: 10.5281/zenodo.4296389
title: The slow and steady salinization of Sparkling Lake, Wisconsin data and code

description: The following code and figures supports the manuscript *The slow and steady salinization of Sparkling Lake* by Hilary Dugan and Linnea Rock. This code pulls data from the North Temperate Lakes Long-Term Ecological Research (NTL-LTER) core data sets from EDI. It then interpolates and decomposes chloride timeseries and builds a model of chloride concentration in Sparkling Lake.
DOI: 10.15468/8ft2qd
title: First fossil pseudopsine rove beetle from mid-Cretaceous Burmese amber (Coleoptera: Staphylinidae: Pseudopsinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Liu, Yuchu, Tihelka, Erik, Tian, Li, Huang, Diying, Cai, Chenyang (2020): First fossil pseudopsine rove beetle from mid-Cretaceous Burmese amber (Coleoptera: Staphylinidae: Pseudopsinae). Zootaxa 4885 (1): 76-82, DOI: https://doi.org/10.11646/zootaxa.4885.1.4
DOI: 10.6084/m9.figshare.13247402
title: LCC_VIP_data.xlsx

description: This file contains data used to calculate the primary energy use and the life cycle cost of a study considering vacuum insulation panels in the paper: "Can vacuum insulation panels be cost-effective when applied in building façades?" was submitted in Building and Environmental Journal.<br>These data include: energy calculations results; detailed thermal properties of VIPs, including linear thermal transmittance and effective thermal conductivity for each panel size and thicknesses; economic data for each city, CO2 emissions conversion factors; energy and carbon prices evolution; detailed results for each sensitivity analysis; and other relevant information.<br><br><br>
DOI: 10.6084/m9.figshare.13299269
title: Data set used in case study

description: used to evaluate the inventory space management
DOI: 10.15468/unqw59
title: Annotated catalogue of the click-beetle genera Hapatesus Candѐze, 1863 and Toorongus Neboiss, 1957 (Coleoptera: Elateridae) from the Australasian realm

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hoffmannova, Johana, Kundrata, Robin (2020): Annotated catalogue of the click-beetle genera Hapatesus Candѐze, 1863 and Toorongus Neboiss, 1957 (Coleoptera: Elateridae) from the Australasian realm. Zootaxa 4885 (2): 221-234, DOI: https://doi.org/10.11646/zootaxa.4885.2.4
DOI: 10.6084/m9.figshare.12765482.v1
title: Fos analysis box sizes

description: Box sizes determined to evaluate distant Fos increases following optogenetic stimulation. Box sizes were determined per target areas, based on the box size height / width that would contain ~10 Fos+ cells in naiive unoperated brain tissue.<br>
DOI: 10.6084/m9.figshare.12762383.v1
title: Full figure data.xlsx

description: Full behavioral and Fos data for experiments and supplemental data.<br>
DOI: 10.15468/4mv967
title: Morphological studies on the last instar larvae of three South American species of Sphecidae (Hymenoptera: Apoidea)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Buys, Sandor Christiano (2020): Morphological studies on the last instar larvae of three South American species of Sphecidae (Hymenoptera: Apoidea). Zootaxa 4885 (2): 259-265, DOI: https://doi.org/10.11646/zootaxa.4885.2.7
DOI: 10.21227/ebzq-d564
title: Drivers' Activity Tracking With JINS MEME Smart Glasses

description: The dataset contains the signal recording acquired on vehicle (car) drivers (ten experienced drivers and ten learner drivers) on the same 28.7 km route in the Silesian Voivodeship (in Polish województwo śląskie) in southern Poland. Experienced drivers performed the tasks in their own cars whereas the learner drivers performed the tasks under a supervison of a driving instructor in a specially marked cars (with L sign). The tasks include driving through a freeway (motorway), city traffic in Bytom, Radzionków, Piekary Śląskie, Tarnowskie Góry, driving in residential areas, driving on a roundabout, parking and driving through an intersection.If you want to use this dataset, please cite the associating article:Doniec, R.J.; Sieciński, S.; Duraj, K.M.; Piaseczna, N.J.; Mocny-Pachońska, K.; Tkacz, E.J. Recognition of Drivers’ Activity Based on 1D Convolutional Neural Network. Electronics 2020, 9, 2002. doi:10.3390/electronics9122002
DOI: 10.21227/sz4r-9b68
title: Drivers' Activity Tracking With JINS MEME Smart Glasses

description: The dataset contains the signal recording acquired on vehicle (car) drivers (ten experienced drivers and ten learner drivers) on the same 28.7 km route in the Silesian Voivodeship (in Polish województwo śląskie) in southern Poland. Experienced drivers performed the tasks in their own cars whereas the learner drivers performed the tasks under a supervison of a driving instructor in a specially marked cars (with L sign). The tasks include driving through a freeway (motorway), city traffic in Bytom, Radzionków, Piekary Śląskie, Tarnowskie Góry, driving in residential areas, driving on a roundabout, parking and driving through an intersection.If you want to use this dataset, please cite the associating article:Doniec, R.J.; Sieciński, S.; Duraj, K.M.; Piaseczna, N.J.; Mocny-Pachońska, K.; Tkacz, E.J. Recognition of Drivers’ Activity Based on 1D Convolutional Neural Network. Electronics 2020, 9(12), 2002. doi:10.3390/electronics9122002
DOI: 10.5281/zenodo.4296613
title: Dataset for the paper: TaskTracker tool: a Toolkit for Tracking of Code Snapshots and Activity Data During Solution of Programming Tasks (SIGCSE Technical Symposium 2021))

description: <pre>It is a dataset for the <em>TaskTracker-tool: a Toolkit for Tracking of Code Snapshots and Activity Data During Solution of Programming Tasks</em> paper from SIGCSE Technical Symposium 2021. The dataset consists of code snapshots, IDE actions, and demographic information gathered by this tool. We had 148 participants, aged 11 to 40 (mean age is 19 years), take part in the data gathering process. </pre> <pre>During data gathering, solutions were accepted in one of four languages: Python, Java, Kotlin, or C++. However, some of the students chose not to submit tasks or solved some tasks incorrectly. At the same time, some students solved some tasks many times in multiple languages. All submitted solutions are included in the final dataset.</pre> <pre>To get more information see the <em>README</em> file.</pre>
DOI: 10.5281/zenodo.4296612
title: Dataset for the paper: TaskTracker tool: a Toolkit for Tracking of Code Snapshots and Activity Data During Solution of Programming Tasks (SIGCSE Technical Symposium 2021))

description: <pre>It is a dataset for the <em>TaskTracker-tool: a Toolkit for Tracking of Code Snapshots and Activity Data During Solution of Programming Tasks</em> paper from SIGCSE Technical Symposium 2021. The dataset consists of code snapshots, IDE actions, and demographic information gathered by this tool. We had 148 participants, aged 11 to 40 (mean age is 19 years), take part in the data gathering process. </pre> <pre>During data gathering, solutions were accepted in one of four languages: Python, Java, Kotlin, or C++. However, some of the students chose not to submit tasks or solved some tasks incorrectly. At the same time, some students solved some tasks many times in multiple languages. All submitted solutions are included in the final dataset.</pre> <pre>To get more information see the <em>README</em> file.</pre>
DOI: 10.5517/ccdc.csd.cc24mtk5
title: CCDC 1985257: Experimental Crystal Structure Determination

description: Related Article: Helena Brake, Eugenia Peresypkina, Alexander V. Virovets, Martin Piesch, Werner Kremer, Lisa Zimmermann, Christian Klimas, Manfred Scheer|2020|Angew.Chem.,Int.Ed.|59|16241|doi:10.1002/anie.202004812
DOI: 10.5517/ccdc.csd.cc24mtl6
title: CCDC 1985258: Experimental Crystal Structure Determination

description: Related Article: Helena Brake, Eugenia Peresypkina, Alexander V. Virovets, Martin Piesch, Werner Kremer, Lisa Zimmermann, Christian Klimas, Manfred Scheer|2020|Angew.Chem.,Int.Ed.|59|16241|doi:10.1002/anie.202004812
DOI: 10.5517/ccdc.csd.cc24mtm7
title: CCDC 1985259: Experimental Crystal Structure Determination

description: Related Article: Helena Brake, Eugenia Peresypkina, Alexander V. Virovets, Martin Piesch, Werner Kremer, Lisa Zimmermann, Christian Klimas, Manfred Scheer|2020|Angew.Chem.,Int.Ed.|59|16241|doi:10.1002/anie.202004812
DOI: 10.5517/ccdc.csd.cc24mtn8
title: CCDC 1985260: Experimental Crystal Structure Determination

description: Related Article: Helena Brake, Eugenia Peresypkina, Alexander V. Virovets, Martin Piesch, Werner Kremer, Lisa Zimmermann, Christian Klimas, Manfred Scheer|2020|Angew.Chem.,Int.Ed.|59|16241|doi:10.1002/anie.202004812
DOI: 10.5517/ccdc.csd.cc24mtp9
title: CCDC 1985261: Experimental Crystal Structure Determination

description: Related Article: Helena Brake, Eugenia Peresypkina, Alexander V. Virovets, Martin Piesch, Werner Kremer, Lisa Zimmermann, Christian Klimas, Manfred Scheer|2020|Angew.Chem.,Int.Ed.|59|16241|doi:10.1002/anie.202004812
DOI: 10.5517/ccdc.csd.cc24mtqb
title: CCDC 1985262: Experimental Crystal Structure Determination

description: Related Article: Helena Brake, Eugenia Peresypkina, Alexander V. Virovets, Martin Piesch, Werner Kremer, Lisa Zimmermann, Christian Klimas, Manfred Scheer|2020|Angew.Chem.,Int.Ed.|59|16241|doi:10.1002/anie.202004812
DOI: 10.5517/ccdc.csd.cc24mtrc
title: CCDC 1985263: Experimental Crystal Structure Determination

description: Related Article: Helena Brake, Eugenia Peresypkina, Alexander V. Virovets, Martin Piesch, Werner Kremer, Lisa Zimmermann, Christian Klimas, Manfred Scheer|2020|Angew.Chem.,Int.Ed.|59|16241|doi:10.1002/anie.202004812
DOI: 10.5517/ccdc.csd.cc24mtsd
title: CCDC 1985264: Experimental Crystal Structure Determination

description: Related Article: Helena Brake, Eugenia Peresypkina, Alexander V. Virovets, Martin Piesch, Werner Kremer, Lisa Zimmermann, Christian Klimas, Manfred Scheer|2020|Angew.Chem.,Int.Ed.|59|16241|doi:10.1002/anie.202004812
DOI: 10.5517/ccdc.csd.cc24mtvg
title: CCDC 1985266: Experimental Crystal Structure Determination

description: Related Article: Helena Brake, Eugenia Peresypkina, Alexander V. Virovets, Martin Piesch, Werner Kremer, Lisa Zimmermann, Christian Klimas, Manfred Scheer|2020|Angew.Chem.,Int.Ed.|59|16241|doi:10.1002/anie.202004812
DOI: 10.5517/ccdc.csd.cc24qxng
title: CCDC 1988236: Experimental Crystal Structure Determination

description: Related Article: Samuel Grams, Jonathan Eyselein, Jens Langer, Christian Färber, Sjoerd Harder|2020|Angew.Chem.,Int.Ed.|59|15982|doi:10.1002/anie.202006693
DOI: 10.5517/ccdc.csd.cc24qxph
title: CCDC 1988237: Experimental Crystal Structure Determination

description: Related Article: Samuel Grams, Jonathan Eyselein, Jens Langer, Christian Färber, Sjoerd Harder|2020|Angew.Chem.,Int.Ed.|59|15982|doi:10.1002/anie.202006693
DOI: 10.5281/zenodo.4260761
title: MongoDB database dump for the analysis of the current sustainability state of research software

description: This data set is the MongoDB dump (bson files) of the data created and analyzed with the rsps framework. In the first step, a research subject is assigned to the research software repositories. Afterwards, the current sustainability state is evaluated. The data set comprises the following six bson files: <strong>repositories: </strong>metadata, received from the GitHub REST API, for repositories containing the search terms "doi+10" or "doi+10+in:readme", additional information are the request date, the contained search term, and the repository hosting service, in this case for all repositories "github". For repositories the Readme files are available. <strong>publications:</strong> metadata of publications, published on arXiv and ACM, that contain the search term "github.com". <strong>rs_repositories:</strong> research software candidates containing a DOI or that are referenced by the publications contained in the publications data set. <strong>rs_artifacts: </strong>research software artifacts that are referenced in the harvested GitHub repositories by a DOI and the harvested publications. <strong>publication_subjects:</strong> All Science Journal Classification (ASJC) of Scopus combined with the Scopus source list and Scopus book title list (https://www.scopus.com/home.uri) <strong>arxiv_subjects:</strong> arXiv taxonomy complemented with the ASJC research subject.
DOI: 10.5281/zenodo.4260760
title: MongoDB database dump for the analysis of the current sustainability state of research software

description: This data set is the MongoDB dump (bson files) of the data created and analyzed with the rsps framework. In the first step, a research subject is assigned to the research software repositories. Afterwards, the current sustainability state is evaluated. The data set comprises the following six bson files: <strong>repositories: </strong>metadata, received from the GitHub REST API, for repositories containing the search terms "doi+10" or "doi+10+in:readme", additional information are the request date, the contained search term, and the repository hosting service, in this case for all repositories "github". For repositories the Readme files are available. <strong>publications:</strong> metadata of publications, published on arXiv and ACM, that contain the search term "github.com". <strong>rs_repositories:</strong> research software candidates containing a DOI or that are referenced by the publications contained in the publications data set. <strong>rs_artifacts: </strong>research software artifacts that are referenced in the harvested GitHub repositories by a DOI and the harvested publications. <strong>publication_subjects:</strong> All Science Journal Classification (ASJC) of Scopus combined with the Scopus source list and Scopus book title list (https://www.scopus.com/home.uri) <strong>arxiv_subjects:</strong> arXiv taxonomy complemented with the ASJC research subject.
DOI: 10.6084/m9.figshare.12762383.v2
title: Full figure data.xlsx

description: Full behavioral and Fos data for experiments and supplemental data.<br>