cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1183246
title: Teacher-Led Inquiry In Technology-Supported School Communities

description: The following dataset has been used for the paper:

Michos, K., Hernández-Leo, D, Albó, L. (2018). Teacher-led inquiry in technology-supported school communities. <em>British Journal of Educational Technology. </em> https://doi.org/10.1111/bjet.12696

Abstract

Learning design is a research field which studies how to best support teachers as designers of Technology Enhanced Learning (TEL) situations. Although substantial work has been done in the articulation of the learning design process, little is known about how learning designs are experienced by students and teachers, especially in the context of schools. This paper empirically examines if a teacher inquiry model, as a tool for systematic research by teachers into their own practice, facilitates the connection between the design and data-informed reflection on TEL interventions in two school communities. High school teachers participated in a learning design professional development program supported by a web-based community platform integrating a teacher inquiry tool (TILE). A multiple case study was conducted aimed at understanding: (a) current teacher practice and (b) teacher involvement in inquiry cycles of design and classroom implementations with technologies. Multiple data sources were used over a one year period including focus groups transcripts, teacher interview protocols, digital artifacts, and questionnaires. Sharing teacher-led inquiries together with learning analytics was perceived as being useful for connecting pedagogical intentions with the evaluation of their enactment with learners, and this differed from their current practice. Teachers’ reflections about their designs focused on the time management of learning activities and their familiarity with the enactment and analytics tools. Results inform how technology can support teacher-led inquiry and collective reflective practice in schools.
DOI: 10.5281/zenodo.1183247
title: Teacher-Led Inquiry In Technology-Supported School Communities

description: The following dataset have been used for the paper entitled "Teacher-led inquiry in technology-supported school communities".

 

Abstract

Learning design is a field of inquiry which studies how to best support teachers as designers of Technology-Enhanced Learning (TEL) situations. Although substantial work has been done in the articulation of the learning design process, little is known about how learning designs are experienced by students and teachers, especially in the context of schools. This paper empirically examines if a teacher inquiry model, as a tool for the systematic research by teachers into their own practice, facilitates the connection between the design and data-informed reflection of TEL interventions in two school communities. High school teachers participated in a learning design professional development program supported by a web-based community platform integrating a teacher inquiry tool (TILE). A multiple case study was conducted aimed at understanding: a) current teacher practice and b) teacher involvement in inquiry cycles of design and classroom implementations with technologies. Multiple data sources were used over a one year period including field notes, focus groups transcripts, teacher interview protocols, digital artifacts, and questionnaires. Sharing teacher-led inquiries together with learning analytics was perceived as being useful for connecting teacher expectations with their objective evaluation of learning designs and this differed from their current practice. Teachers’ reflections about their designs focused on the time management of learning activities and their familiarity with the enactment and analytics tools. Results inform how technology can support teacher-led inquiry and collective reflective practice in schools.

 

Michos, K., Hernández Leo, D., Albό, L.(2018). Teacher-led inquiry in technology-supported school communities.
DOI: 10.5281/zenodo.1183248
title: Tables And Figures Complementing The European Union Summary Report On Antimicrobial Resistance In Zoonotic And Indicator Bacteria From Humans, Animals And Food  In 2016

description: All tables, figures and maps produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2016 are provided.
description: zoonoses@efsa.europa.eu
DOI: 10.5281/zenodo.1183249
title: Tables And Figures Complementing The European Union Summary Report On Antimicrobial Resistance In Zoonotic And Indicator Bacteria From Humans, Animals And Food  In 2016

description: All tables, figures and maps produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2016 are provided.
description: zoonoses@efsa.europa.eu
DOI: 10.14284/318
title: Relative abundance data of 4 cryptic lineages of the nematode Litoditis marina in a saltmarsh habitat in the Western-Scheldt estuary
DOI: 10.21227/xedp-me46
title: Brazilian Flights Dataset

description: An integrated dataset containing data on departure and arrival data for Brazilian domestic flights comprising the period from the years 2000 to 2019.Composed of 15,506,069 records of flight data, each containing 51 attributes. The attributes include data regarding the airline, flight, airports, meteorological conditions, and scheduled and real times of departure and arrival.
DOI: 10.5517/ccdc.csd.cc1ys7ml
title: CCDC 1810760: Experimental Crystal Structure Determination

description: Related Article: Franz A. Mautner, Magdalena Traber, Roland C. Fischer, Klaus Reichmann, Ramon Vicente|2018|Polyhedron|144|30|doi:10.1016/j.poly.2018.01.012
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ys7nm
title: CCDC 1810761: Experimental Crystal Structure Determination

description: Related Article: Franz A. Mautner, Magdalena Traber, Roland C. Fischer, Klaus Reichmann, Ramon Vicente|2018|Polyhedron|144|30|doi:10.1016/j.poly.2018.01.012
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/7vzk5gxzh3.1
title: PyCDT: A Python toolkit for modeling point defects in semiconductors and insulators

description: Point defects have a strong impact on the performance of semiconductor and insulator materials used in technological applications, spanning microelectronics to energy conversion and storage. The nature of the dominant defect types, how they vary with processing conditions, and their impact on materials properties are central aspects that determine the performance of a material in a certain application. This information is, however, difficult to access directly from experimental measurements. Consequently, computational methods, based on electronic density functional theory (DFT), have found widespread use in the calculation of point-defect properties. Here we have developed the Python Charged Defect Toolkit (PyCDT) to expedite the setup and post-processing of defect calculations with widely used DFT software. PyCDT has a user-friendly command-line interface and provides a direct interface with the Materials Project database. This allows for setting up many charged defect calculations for any material of interest, as well as post-processing and applying state-of-the-art electrostatic correction terms. Our paper serves as a documentation for PyCDT, and demonstrates its use in an application to the well-studied GaAs compound semiconductor. We anticipate that the PyCDT code will be useful as a framework for undertaking readily reproducible calculations of charged point-defect properties, and that it will provide a foundation for automated, high-throughput calculations.
DOI: 10.17632/hvxcfvhydn.2
title: Rare but evolutionarily consequential outcrossing in a highly inbred zoonotic parasite

description: Supplementary Tables and Figures of the manuscript entitled Rare but evolutionarily consequential outcrossing in a highly inbred zoonotic parasite
DOI: 10.17632/zff8n8njyv.1
title: Edolisoma molecular phylogeny alignment

description: Alignment (NEXUS file format) of the mitochondrial genes ND2, G3P, ODC and Myo used to generate the molecular phylogeny of the Edolisoma genus in: Pedersen, M.P., Irestedt, M., Joseph, L., Rahbek, C. & Jønsson, K.A. (2018) Phylogeography of a “great speciator” (Aves: Edolisoma tenuirostre) reveals complex diversification and dispersal dynamics across the Indo-Pacific, Journal of Biogeography. https://doi.org/10.1111/jbi.13182
DOI: 10.5517/ccdc.csd.cc1kss48
title: CCDC 1453780: Experimental Crystal Structure Determination

description: Related Article: Peng Zhou, Ling Huang, Yongqiang Zhang, Xingyong Xue, Yanling Zhou, Zhen Ma|2018|J.Photochem.Photobiol.A:Chem.|358|17|doi:10.1016/j.jphotochem.2018.02.028
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/fn2mmff85g.1
title: Corpus of Sarcasm in Twitter Conversations

description: A corpus of two-part author-audience Twitter conversations, with associated manually annotated sarcasm polarity labels. The corpus is presented as a csv file in the format author, audience, label, where 'author' is the ID number of the target Tweet, 'audience' is the ID number of the other tweet in the conversation, and 'label' is the hand-annotated positive (1) or negative (0) sarcasm class label.
DOI: 10.17632/gccfrd86bw.1
title: Data for: The Effect of the Financial Crisis on Default by Spanish Households

description: Contains description of the elaboration process of all tables and figures displayed at the paper, as well as Stata-do files used.
DOI: 10.17632/nc5sdccgjs.1
title: Data for: Permanent site characteristics exert a larger influence than atmospheric conditions on leaf mass, foliar nutrients and ultimately aboveground biomass productivity of Salix miyabeana ‘SX67’
DOI: 10.17632/nrhnb8k5ws.1
title: The CCSM3 Deep Time Paleoclimate Simulation: lpia.lowstand.glaciation.big

description: I. Top Level Description This dataset archives a simulation with Community Climate System Model version 3 (CCSM3) known as lpia.lowstand.glaciation.big. It was called Icehouse.glaciation.polar in Heavens et al. (2015), the publication in which it was first reported in the peer-reviewed literature. This publication should be used for reference concerning the overarching methodology of the simulation. The simulation was run on the bluefire machine operated by the Computational Information Systems Laboratory (CISL) of the National Center for Atmospheric Research (NCAR) between 1 April 2011 and 7 May 2011. More complete documentation is included in the top-level README.TXT References: Heavens, N.G., N.M. Mahowald, G.S. Soreghan, M.J. Soreghan, C.A. Shields, 2015, A model-based evaluation of tropical climate in Pangaea during the late Palaeozoic Icehouse, Palaeogeogr. Palaeoclimatol., Palaeoecol., 425, 109–127, doi:10.1016/j.palaeo.2015.02.024. Rosenbloom, N., C. Shields, E. Brady, S. Levis, and S. Yeager, 2011, Using CCSM3 for Paleoclimate Applications, National Center for Atmospheric Research (Boulder, CO) Technical Note, NCAR/TN-483+STR. Acknowledgments: This simulation made use of CISL-NCAR resources and was supported by the National Science Foundation under EAR-0745961, EAR-0932946, and EAR-1003509. It was archived under EAR-1337363.
DOI: 10.17632/xsvp45cbt4.1
title: HanDeSeT: Hansard Debates with Sentiment Tags

description: A corpus of Hansard UK Parliament Debates for use in the evaluation of sentiment analysis systems. The corpus consists of 1251 motion-speech units taken from 129 separate debates from the UK House of Commons 1997-2017. Each unit comprises a parliamentary speech of up to five utterances and an associated debate motion. Debates comprise between one and 30 speeches, and speeches range in length from 31 to 1049 words, with a mean of 167.8 words. The debates cover a two decade period from 1997 to 2017 and a wide range of topics from domestic and foreign affairs to procedural matters concerning the running of the House. Each motion has two sentiment polarity labels: 1. A manually applied sentiment polarity label ; and 2. A label derived from the relationship of the MP who proses the motion to the Government. Each speech has two sentiment polarity labels: 1. A speaker-vote label extracted from the division associated with the corresponding debate; and: 2. A manually assigned label. In addition, the following metadata is included with each unit: debate id, speaker party affiliation, motion party affiliation, speaker name, and speaker rebellion rate. Manually applied motion labels are approximately evenly balanced; the other labels are slightly skewed towards the positive class. Hansard transcript data is used under the Open Parliament Licence V3.0. Data regarding speaker rebellion rates is taken from the Public Whip, and used under the Open Data Commons Open Database License (ODbL).
DOI: 10.5517/ccdc.csd.cc1ys7lk
title: CCDC 1810759: Experimental Crystal Structure Determination

description: Related Article: Franz A. Mautner, Magdalena Traber, Roland C. Fischer, Klaus Reichmann, Ramon Vicente|2018|Polyhedron|144|30|doi:10.1016/j.poly.2018.01.012
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.21227/h28m1d
title: SERS spectrum of RHB solution measured on different patterns
DOI: 10.5517/ccdc.csd.cc1lc1kk
title: CCDC 1470378: Experimental Crystal Structure Determination

description: Related Article: Qiang Zhao|2018|Inorg.Chim.Acta|473|282|doi:10.1016/j.ica.2018.01.014
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ywmbs
title: CCDC 1814006: Experimental Crystal Structure Determination

description: Related Article: Leon Maser, Jan Herritsch, Robert Langer|2018|Dalton Trans.|47|10544|doi:10.1039/C7DT04930G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ywmfw
title: CCDC 1814009: Experimental Crystal Structure Determination

description: Related Article: Leon Maser, Jan Herritsch, Robert Langer|2018|Dalton Trans.|47|10544|doi:10.1039/C7DT04930G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1ywmgx
title: CCDC 1814010: Experimental Crystal Structure Determination

description: Related Article: Leon Maser, Jan Herritsch, Robert Langer|2018|Dalton Trans.|47|10544|doi:10.1039/C7DT04930G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1z064b
title: CCDC 1817441: Experimental Crystal Structure Determination

description: Related Article: A. Grzechnik, M. Meven, K. Friese|2018|J.Appl.Crystallogr.|51|351|doi:10.1107/S1600576718000997
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6080/k0vx0dqd
title: Intracranial EEG recordings of medial temporal, lateral frontal, and orbitofrontal regions in
                10 human adults performing a visuospatial working memory task.
title: CRCNS.org fcx-2

description: This dataset contains intracranial EEG (iEEG) recordings of medial temporal, lateral
                frontal, and orbitofrontal regions in 10 human adults performing a visuospatial working
                memory task.  Participants were epileptic patients (mean ± SD [range]: 37 ± 13 [22-69]
                years of age, 7 males) with channels in frontal and medial temporal lobes. Primary (raw)
                and derived (preprocessed) iEEG data, and analysis scripts are included.  Each participant
                completed 120 trials of a visuospatial working memory task. Each trial consisted of five
                phases: pretrial, encoding, pre-cue delay, post-cue delay, and response. Following a 1-s
                pretrial fixation interval, participants were cued to focus on either IDENTITY or RELATION
                information. Then, two common-shape stimuli were presented for 200 ms each on the in the center
                of the screen in a specific spatiotemporal configuration (i.e., top/bottom spatial and first/second
                temporal positions). After a 900- or 1150-ms jittered pre-cue delay fixation interval, the test prompt
                appeared, followed by a post-cue delay fixation interval of the same length. Working memory was tested
                in a two-alternative forced choice test, resulting in a 0.5 chance rate. In the identity test, subjects
                indicated whether the pair was the SAME pair they just studied (50% yes/no). In the spatiotemporal
                relation test, subjects indicated which shape fit the TOP/BOTTOM spatial or FIRST/SECOND temporal
                relation prompt (50% per stimulus).  Methods, participants, and results are described in:
                Johnson, E. L., Adams, J. N., Solbakk, A.-K., Endestad, T., Larsson, P. G., Ivanovic, J.,
                Meling, T. R., Lin, J. J., Knight, R. T. Dynamic frontotemporal systems process space and time in
                working memory. PLOS Biology (2018).
DOI: 10.5281/zenodo.1182925
title: Seers Dataset For Benchmarking

description: This dataset contains data collected during the demonstration activities of the SEERS project (http://www.seersproject.eu) including four scenarios: firefighting in enclosed spaces, maritime aerial surveillance, port surveillance and traffic monitoring. The purpose of the dataset is the evaluation of the video analytics software.
DOI: 10.5281/zenodo.1182926
title: Seers Dataset For Benchmarking

description: This dataset contains data collected during the demonstration activities of the SEERS project (http://www.seersproject.eu) including four scenarios: firefighting in enclosed spaces, maritime aerial surveillance, port surveillance and traffic monitoring. The purpose of the dataset is the evaluation of the video analytics software.
DOI: 10.5517/ccdc.csd.cc1m8052
title: CCDC 1497243: Experimental Crystal Structure Determination

description: Related Article: Steffen Ziemann, Sven Krieck, Helmar Görls, Matthias Westerhausen|2018|Organometallics|37|924|doi:10.1021/acs.organomet.7b00890
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1m8063
title: CCDC 1497244: Experimental Crystal Structure Determination

description: Related Article: Steffen Ziemann, Sven Krieck, Helmar Görls, Matthias Westerhausen|2018|Organometallics|37|924|doi:10.1021/acs.organomet.7b00890
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1m8074
title: CCDC 1497245: Experimental Crystal Structure Determination

description: Related Article: Steffen Ziemann, Sven Krieck, Helmar Görls, Matthias Westerhausen|2018|Organometallics|37|924|doi:10.1021/acs.organomet.7b00890
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1m8085
title: CCDC 1497246: Experimental Crystal Structure Determination

description: Related Article: Steffen Ziemann, Sven Krieck, Helmar Görls, Matthias Westerhausen|2018|Organometallics|37|924|doi:10.1021/acs.organomet.7b00890
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q0qv9
title: CCDC 1579631: Experimental Crystal Structure Determination

description: Related Article: Jing Zhou, Guojuan Liang, Xiangnan Hu, Liping Zhou, Hui Zhou|2018|Tetrahedron|74|1492|doi:10.1016/j.tet.2018.02.008
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.