cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23641/asha.31049815
title: Effective audiology clinical teaching strategies (Jedlicka & Mormer, 2026)

description: <b>Introduction:</b> Effective clinical education is foundational to developing competent audiologists, yet limited research has explored which specific clinical teaching approaches students perceive as most effective. Much of the existing evidence is drawn from researcher and clinical educator perspectives, rather than student perspectives of effective clinical education approaches.<b>Objective: </b>The purpose of this qualitative research project was to identify themes from clinical teaching strategies that doctor of audiology (AuD) students perceive as most effective during clinical placements with community clinical instructors.<b>Method: </b>Using Braun and Clarke’s six-step reflexive thematic analysis framework, open-ended survey responses from 62 AuD students at the University of Pittsburgh were analyzed. Data reflected responses to the question “What teaching strategy(s) used by your clinical instructor most positively impacted your learning this term?” These data were coded and subsequently grouped into themes.<b>Results: </b>Five themes were identified: engaging student thought, independence, productive feedback, supportive approach, and teaching strategies. Many responses revealed overlapping codes across themes, indicating the interconnected nature of effective clinical instruction practices.<b>Conclusions: </b>The most reported effective strategy included a clear pathway to independent learning. Students commonly noted the value of productive feedback and questioning techniques to engage their thinking. The clinical instructor’s openness and support were highly valued, as was intentional explanation and modeling of clinical skills. The components of effective clinical instruction identified in this study align with durable themes that emerged in prior research on clinical education across health professions. Students felt that the most effective clinical teaching strategies incorporate aspects from the five identified themes. Although these themes may help guide better clinical teaching approaches, individual student needs and the most effective clinical education strategies will vary for each student. These findings can be incorporated into audiology clinical instructor training and practices, ensuring clinical education strategies that align with student learning needs.<b>Supplemental Material S1. </b>Individual themes and associated codes.<b>Supplemental Material S2.</b> Student responses and corresponding codes.Jedlicka, D. P., & Mormer, E. (2026). Effective clinical teaching strategies in audiology: A reflexive thematic analysis. <i>American Journal of Audiology</i>. Advance online publication. https://doi.org/10.1044/2025_AJA-25-00175
DOI: 10.23641/asha.31049815.v1
title: Effective audiology clinical teaching strategies (Jedlicka & Mormer, 2026)

description: <b>Introduction:</b> Effective clinical education is foundational to developing competent audiologists, yet limited research has explored which specific clinical teaching approaches students perceive as most effective. Much of the existing evidence is drawn from researcher and clinical educator perspectives, rather than student perspectives of effective clinical education approaches.<b>Objective: </b>The purpose of this qualitative research project was to identify themes from clinical teaching strategies that doctor of audiology (AuD) students perceive as most effective during clinical placements with community clinical instructors.<b>Method: </b>Using Braun and Clarke’s six-step reflexive thematic analysis framework, open-ended survey responses from 62 AuD students at the University of Pittsburgh were analyzed. Data reflected responses to the question “What teaching strategy(s) used by your clinical instructor most positively impacted your learning this term?” These data were coded and subsequently grouped into themes.<b>Results: </b>Five themes were identified: engaging student thought, independence, productive feedback, supportive approach, and teaching strategies. Many responses revealed overlapping codes across themes, indicating the interconnected nature of effective clinical instruction practices.<b>Conclusions: </b>The most reported effective strategy included a clear pathway to independent learning. Students commonly noted the value of productive feedback and questioning techniques to engage their thinking. The clinical instructor’s openness and support were highly valued, as was intentional explanation and modeling of clinical skills. The components of effective clinical instruction identified in this study align with durable themes that emerged in prior research on clinical education across health professions. Students felt that the most effective clinical teaching strategies incorporate aspects from the five identified themes. Although these themes may help guide better clinical teaching approaches, individual student needs and the most effective clinical education strategies will vary for each student. These findings can be incorporated into audiology clinical instructor training and practices, ensuring clinical education strategies that align with student learning needs.<b>Supplemental Material S1. </b>Individual themes and associated codes.<b>Supplemental Material S2.</b> Student responses and corresponding codes.Jedlicka, D. P., & Mormer, E. (2026). Effective clinical teaching strategies in audiology: A reflexive thematic analysis. <i>American Journal of Audiology</i>. Advance online publication. https://doi.org/10.1044/2025_AJA-25-00175
DOI: 10.60507/fk2/dryp80/t37fqa
title: correlations.py
DOI: 10.60507/fk2/dryp80/10pxks
title: models.py
DOI: 10.60507/fk2/dryp80/uhhu6r
title: config.py
DOI: 10.60507/fk2/dryp80/dgxjgp
title: util.py
DOI: 10.60507/fk2/dryp80/6xjekj
title: requirements.txt
DOI: 10.60507/fk2/dryp80/jhrlps
title: main.py
DOI: 10.60507/fk2/dryp80/wijhgh
title: loader.py
DOI: 10.60507/fk2/dryp80/bn0qyj
title: metrics.py
DOI: 10.60507/fk2/dryp80/gewmed
title: trainer.py
DOI: 10.60507/fk2/dryp80/hoswkb
title: LICENSE
DOI: 10.60507/fk2/dryp80/mwygii
title: README.md
DOI: 10.60507/fk2/dryp80/kahizk
title: stnorm.py
DOI: 10.60507/fk2/dryp80/lptnma
title: config.py
DOI: 10.60507/fk2/dryp80/9y3asy
title: trainer.py
DOI: 10.60507/fk2/dryp80/ractzi
title: main.py
DOI: 10.60507/fk2/dryp80/6oijn2
title: README.md
DOI: 10.60507/fk2/dryp80/s6s5ln
title: requirements.txt
DOI: 10.60507/fk2/dryp80/rye7n9
title: metrics.py
DOI: 10.60507/fk2/dryp80/oip0j0
title: util.py
DOI: 10.60507/fk2/dryp80/t6s3oe
title: LICENSE
DOI: 10.60507/fk2/dryp80/tanych
title: loader.py
DOI: 10.60507/fk2/dryp80/a33wir
title: .gitignore
DOI: 10.60507/fk2/dryp80/bl8syk
title: models.py
DOI: 10.60507/fk2/dryp80/woxbuf
title: correlations.py
DOI: 10.60507/fk2/dryp80
title: Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

description: In this repository, you can find the code to train and evaluate SCANNER+, a novel neighborhood-based self-enrichment approach for traffic speed prediction. SCANNER+ learns effective node representations in dynamic road traffic settings. This work extends SCANNER, which utilizes correlation-based pattern detection and a self-enrichment mechanism.
DOI: 10.6084/m9.figshare.28847561
title: Porewater-Surface Water Interface Mediates Methanogenesis, Oxidation, and Large Methane Emissions in Mixed Seagrass-Macroalgae Ecosystems

description: The data of CH<sub>4</sub>, δ<sup>13</sup>C-DIC and δ<sup>13</sup>C-CH<sub>4</sub> during incubation experiments and global CH<sub>4</sub><sub> </sub>emission rate. The data of CH<sub>4</sub><sub> </sub>and <sup>222</sup>Rn during time series observations in June and November.
DOI: 10.6084/m9.figshare.28847561.v2
title: Porewater-Surface Water Interface Mediates Methanogenesis, Oxidation, and Large Methane Emissions in Mixed Seagrass-Macroalgae Ecosystems

description: The data of CH<sub>4</sub>, δ<sup>13</sup>C-DIC and δ<sup>13</sup>C-CH<sub>4</sub> during incubation experiments and global CH<sub>4</sub><sub> </sub>emission rate. The data of CH<sub>4</sub><sub> </sub>and <sup>222</sup>Rn during time series observations in June and November.
DOI: 10.6084/m9.figshare.28847561.v1
title: Anthropogenic Shifts in Seagrass-Macroalgae Ecotones Substantially Drive Coastal Methane Hotspots

description: The data of CH<sub>4</sub>, δ<sup>13</sup>C-DIC and δ<sup>13</sup>C-CH<sub>4</sub> during incubation experiments and global CH<sub>4</sub><sub> </sub>emission rate. The data of CH<sub>4</sub><sub> </sub>and <sup>222</sup>Rn during time series observations in June and November.
DOI: 10.5281/zenodo.18342138
title: Energy and specific heat for J=7/2 magnetic crystals

description: Complementary data for the manuscript "Specific heat of Gd3+  and Eu2+ -based magnetic compounds" by D.J. Garcia, J. Sereni and A.A. Aligia[1].

We include the energy and specific heat for many magnetic lattices. The magnetic moment is S=7/2. Interactions are taken as Heisenberg-like

H = Sum_{i,\delta}  J_\delta S_i S_{i+\delta}

and \delta is taken to consider first, second, and possibly more nearest neighbors.

Interactions are either all FM or AF to keep the system non-frustrated. We take all |J_\delta|=1K unless otherwise stated.

Computations are performed using quantum Monte Carlo (QMC) simulations from the ALPS libraries (“dirloop_sse” package) [2, 3]. Most calculations are done using 20^3 conventional unit cells.

Directory name convention is as follows:

fig*data/{Lattice Name}( {effective z}) , J_2 = ... , J_3 =... , K=... , L={size of the linear length} )

fig*data refers to data of the corresponding figure in reference [1].

Lattice names are BCC, Diamond, FCC, HCP, and SC  with their classic meaning of Body-Centered Cubic, Face-centered cubic, Hexagonal close-packed, and simple cubic.

LHc corresponds to a layered honeycomb lattice with three NN within the plane of the honeycomb layer and one above or below the layer in alternating sites.

magnetic order is either ferromagnetic (FM) or antiferromagnetic (AF).

effective z agrees with the number of neighbors when all J_\delta are equal. It is computed by increasing the considered neighbor radius.  See [1].

The file SpecificHeatAndEnergy_2026.tgz contains the raw data for all lattices in txt format. This version updates results with larger statistics. An ALPS example directory is also included.

Finite size effects are almost negligible in these cases except for the antiferromagnetic simple cubic lattice ( SC_AF(6) ).

 

[1] D. J. Garcia, J. G. Sereni, A. A. Aligia, "Specific heat of Gd3+ and Eu2+-based magnetic compounds", arXiv:2410.23519

[2] A. Albuquerque, F. Alet, P. Corboz, P. Dayal, A. Feiguin, S. Fuchs, L. Gamper, E. Gull, S. Gürtler, A. Honecker, R. Igarashi, M. Körner et al., The ALPS project release 1.3: Open- source software for strongly correlated systems, Journal of Magnetism and Magnetic Materials 310(2, Part 2), 1187 (2007), doi:https://doi.org/10.1016/j.jmmm.2006.10.304, Proceedings of the 17th International Conference on Magnetism. 

[3] B. Bauer, L. D. Carr, H. G. Evertz, A. Feiguin, J. Freire, S. Fuchs, L. Gamper, J. Gukelberger, E. Gull, S. Guertler, A. Hehn, R. Igarashi et al., The ALPS project release 2.0: open source software for strongly correlated systems, Journal of Statistical Mechanics: Theory and Experiment 2011(05), P05001 (2011), doi:10.1088/1742-5468/2011/05/P05001.AAA y DJG adhere to the Pugwash declaration on the attack against Venezuela on 3 January 2026 [4][4] Pugwash Conferences on Science and World Affairs, "Statement on attack against Venezuela". https://pugwash.org/2026/01/04/statement-on-attack-against-venezuela/
DOI: 10.5281/zenodo.12659007
title: Energy and specific heat for J=7/2 magnetic crystals

description: Complementary data for the manuscript "Specific heat of Gd3+  and Eu2+ -based magnetic compounds" by D.J. Garcia, J. Sereni and A.A. Aligia[1].

We include the energy and specific heat for many magnetic lattices. The magnetic moment is S=7/2. Interactions are taken as Heisenberg-like

H = Sum_{i,\delta}  J_\delta S_i S_{i+\delta}

and \delta is taken to consider first, second, and possibly more nearest neighbors.

Interactions are either all FM or AF to keep the system non-frustrated. We take all |J_\delta|=1K unless otherwise stated.

Computations are performed using quantum Monte Carlo (QMC) simulations from the ALPS libraries (“dirloop_sse” package) [2, 3]. Most calculations are done using 20^3 conventional unit cells.

Directory name convention is as follows:

fig*data/{Lattice Name}( {effective z}) , J_2 = ... , J_3 =... , K=... , L={size of the linear length} )

fig*data refers to data of the corresponding figure in reference [1].

Lattice names are BCC, Diamond, FCC, HCP, and SC  with their classic meaning of Body-Centered Cubic, Face-centered cubic, Hexagonal close-packed, and simple cubic.

LHc corresponds to a layered honeycomb lattice with three NN within the plane of the honeycomb layer and one above or below the layer in alternating sites.

magnetic order is either ferromagnetic (FM) or antiferromagnetic (AF).

effective z agrees with the number of neighbors when all J_\delta are equal. It is computed by increasing the considered neighbor radius.  See [1].

The file SpecificHeatAndEnergy_2026.tgz contains the raw data for all lattices in txt format. This version updates results with larger statistics. An ALPS example directory is also included.

Finite size effects are almost negligible in these cases except for the antiferromagnetic simple cubic lattice ( SC_AF(6) ).

 

[1] D. J. Garcia, J. G. Sereni, A. A. Aligia, "Specific heat of Gd3+ and Eu2+-based magnetic compounds", arXiv:2410.23519

[2] A. Albuquerque, F. Alet, P. Corboz, P. Dayal, A. Feiguin, S. Fuchs, L. Gamper, E. Gull, S. Gürtler, A. Honecker, R. Igarashi, M. Körner et al., The ALPS project release 1.3: Open- source software for strongly correlated systems, Journal of Magnetism and Magnetic Materials 310(2, Part 2), 1187 (2007), doi:https://doi.org/10.1016/j.jmmm.2006.10.304, Proceedings of the 17th International Conference on Magnetism. 

[3] B. Bauer, L. D. Carr, H. G. Evertz, A. Feiguin, J. Freire, S. Fuchs, L. Gamper, J. Gukelberger, E. Gull, S. Guertler, A. Hehn, R. Igarashi et al., The ALPS project release 2.0: open source software for strongly correlated systems, Journal of Statistical Mechanics: Theory and Experiment 2011(05), P05001 (2011), doi:10.1088/1742-5468/2011/05/P05001.AAA y DJG adhere to the Pugwash declaration on the attack against Venezuela on 3 January 2026 [4][4] Pugwash Conferences on Science and World Affairs, "Statement on attack against Venezuela". https://pugwash.org/2026/01/04/statement-on-attack-against-venezuela/
DOI: 10.5517/ccdc.csd.cc2dy54p
title: CCDC 2232562: Experimental Crystal Structure Determination

description: Related Article: Chengdong Liu, Yun Li, Zheng Tang, Kai-Ge Gao, Jing Xie, Jun Tao, Zi-Shuo Yao
|2024|Angew.Chem.,Int.Ed.|63|e202405514|doi:10.1002/anie.202405514
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.cc2dy55q
title: CCDC 2232563: Experimental Crystal Structure Determination

description: Related Article: Chengdong Liu, Yun Li, Zheng Tang, Kai-Ge Gao, Jing Xie, Jun Tao, Zi-Shuo Yao
|2024|Angew.Chem.,Int.Ed.|63|e202405514|doi:10.1002/anie.202405514
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: 10.34894/vyzlw5
title: Diamond Workers Occupational Census of 1889

description: This dataset is built using the Occupational Census of 1889. It contains all the diamond workers found in the different provinces and has been curated to include standard occupational titles and AMCO's for the municipalities. 

In contrast to the original census tables this dataset is a 'flattened' table which can easily be used to ingest it in other systems. 

The Linked Data (RDF) version of these datasets can be found at: https://druid.datalegend.net/DiamondWorkersCensus
description: Beroepentelling 1889
DOI: 10.5517/ccdc.csd.cc2dy56r
title: CCDC 2232564: Experimental Crystal Structure Determination

description: Related Article: Chengdong Liu, Yun Li, Zheng Tang, Kai-Ge Gao, Jing Xie, Jun Tao, Zi-Shuo Yao
|2024|Angew.Chem.,Int.Ed.|63|e202405514|doi:10.1002/anie.202405514
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.cc2dy57s
title: CCDC 2232565: Experimental Crystal Structure Determination

description: Related Article: Chengdong Liu, Yun Li, Zheng Tang, Kai-Ge Gao, Jing Xie, Jun Tao, Zi-Shuo Yao
|2024|Angew.Chem.,Int.Ed.|63|e202405514|doi:10.1002/anie.202405514
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.cc2dy58t
title: CCDC 2232566: Experimental Crystal Structure Determination

description: Related Article: Chengdong Liu, Yun Li, Zheng Tang, Kai-Ge Gao, Jing Xie, Jun Tao, Zi-Shuo Yao
|2024|Angew.Chem.,Int.Ed.|63|e202405514|doi:10.1002/anie.202405514
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.cc2dy59v
title: CCDC 2232567: Experimental Crystal Structure Determination

description: Related Article: Chengdong Liu, Yun Li, Zheng Tang, Kai-Ge Gao, Jing Xie, Jun Tao, Zi-Shuo Yao
|2024|Angew.Chem.,Int.Ed.|63|e202405514|doi:10.1002/anie.202405514
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.cc2dy5bw
title: CCDC 2232568: Experimental Crystal Structure Determination

description: Related Article: Chengdong Liu, Yun Li, Zheng Tang, Kai-Ge Gao, Jing Xie, Jun Tao, Zi-Shuo Yao
|2024|Angew.Chem.,Int.Ed.|63|e202405514|doi:10.1002/anie.202405514
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.cc2dy5cx
title: CCDC 2232569: Experimental Crystal Structure Determination

description: Related Article: Chengdong Liu, Yun Li, Zheng Tang, Kai-Ge Gao, Jing Xie, Jun Tao, Zi-Shuo Yao
|2024|Angew.Chem.,Int.Ed.|63|e202405514|doi:10.1002/anie.202405514
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.cc2dy5dy
title: CCDC 2232570: Experimental Crystal Structure Determination

description: Related Article: Chengdong Liu, Yun Li, Zheng Tang, Kai-Ge Gao, Jing Xie, Jun Tao, Zi-Shuo Yao
|2024|Angew.Chem.,Int.Ed.|63|e202405514|doi:10.1002/anie.202405514
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.cc2dy5fz
title: CCDC 2232571: Experimental Crystal Structure Determination

description: Related Article: Chengdong Liu, Yun Li, Zheng Tang, Kai-Ge Gao, Jing Xie, Jun Tao, Zi-Shuo Yao
|2024|Angew.Chem.,Int.Ed.|63|e202405514|doi:10.1002/anie.202405514
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.cc2dy5g0
title: CCDC 2232572: Experimental Crystal Structure Determination

description: Related Article: Chengdong Liu, Yun Li, Zheng Tang, Kai-Ge Gao, Jing Xie, Jun Tao, Zi-Shuo Yao
|2024|Angew.Chem.,Int.Ed.|63|e202405514|doi:10.1002/anie.202405514
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.cc2dy5h1
title: CCDC 2232573: Experimental Crystal Structure Determination

description: Related Article: Chengdong Liu, Yun Li, Zheng Tang, Kai-Ge Gao, Jing Xie, Jun Tao, Zi-Shuo Yao
|2024|Angew.Chem.,Int.Ed.|63|e202405514|doi:10.1002/anie.202405514
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.cc2dy5j2
title: CCDC 2232574: Experimental Crystal Structure Determination

description: Related Article: Chengdong Liu, Yun Li, Zheng Tang, Kai-Ge Gao, Jing Xie, Jun Tao, Zi-Shuo Yao
|2024|Angew.Chem.,Int.Ed.|63|e202405514|doi:10.1002/anie.202405514
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.