cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20528154.v1
title: Implementing blended learning for clinician teachers: a qualitative study identifying their needs and the impact on faculty development initiatives

description: Learning Technologies has been a fast-growing field in Health Professions Education (HPE). Approaches to teaching, learning and assessment has been increasingly influenced by learning technologies which requires HPE teachers to adapt their teaching practices and with that identify areas for professional development. The implementation of blended learning in HPE, has shown improvements in student performance. However, it seems as if there are challenges with the implementation of a blended learning approach and that there might be some needs that clinical teachers have that are not being addressed in order to implement blended learning successfully. We used a qualitative exploratory design to identify clinician teachers’ needs. Semi-structured, individual interviews were conducted with a total of eight (n=8) module coordinators in the third year of the MBChB programme, Stellenbosch University, Faculty of Medicine and Health Sciences. Results indicated the need for continuous technical and pedagogical support which refers to a longitudinal faculty development approach. Additionally, faculty development should include the support in structuring and rethinking the blended curriculum, as well as assisting in the clinicians’ development in their role and identity as a clinical teacher. These results reveal the importance of faculty development as a targeted longitudinal approach
DOI: 10.6084/m9.figshare.13536594
title: Natural history of widespread high grade prostatic intraepithelial neoplasia and atypical small acinar proliferation: should we rebiopsy them all?

description: To evaluate the premalignant potential of high-grade prostatic intraepithelial neoplasia (HGPIN) and atypical small acinar proliferation (ASAP). Patients diagnosed with monofocal HGPIN (mHGPIN), widespread HGPIN (≥4 cores, wHGPIN) and/or ASAP who underwent at least one rebiopsy during their follow-up, were enrolled. All enrollment biopsies underwent central pathologic revision. Risks for PCa were estimated using Fine and Gray method for competing risk. Pathologic revision changed the original diagnosis in 32.3% of cases. Among 336 cases enrolled, PCa was diagnosed in 164 (48.8%), and more specifically in 20 (30.3%) mHGPIN, 10 (34.5%) wHGPIN, 101 (54.0%) ASAP, and 33 (61.1%) HGPIN + ASAP (mean follow-up 124 months). Most PCa were Gleason score 6(3 + 3) (51.0%) and 7(3 + 4) (34.3%). On multivariate analysis, HGPIN + ASAP (HR 2.76, <i>p</i> &lt; 0.001) and ASAP alone (HR 2.41, <i>p</i> &lt; 0.001) were the only lesions significantly associated with PCa development. Of all cancers detected, 64.3% were at first rebiopsy. A rebiopsy performed within 3 months after ASAP diagnosis had a 45% chance of finding PCa. At Kaplan–Meier survival curves, median PCa-free survival was 48.1 months for HGPIN + ASAP and 64.9 months for ASAP (<i>p</i> 0.0005 at Log-rank test). At 1 year, 70% of HGPIN + ASAP, 73% of ASAP, 89% of wHGPIN, and 84% of mHGPIN were PCa-free. The diagnosis of ASAP and HGPIN strongly relies on the expertise of dedicated uro-pathologists. Finding of ASAP is a strong risk factor for a subsequent PCa diagnosis, advising a rebiopsy, possibly within 3 months. m/wHGPIN should not be routinely rebiopsied.
DOI: 10.6084/m9.figshare.13536594.v1
title: Natural history of widespread high grade prostatic intraepithelial neoplasia and atypical small acinar proliferation: should we rebiopsy them all?

description: To evaluate the premalignant potential of high-grade prostatic intraepithelial neoplasia (HGPIN) and atypical small acinar proliferation (ASAP). Patients diagnosed with monofocal HGPIN (mHGPIN), widespread HGPIN (≥4 cores, wHGPIN) and/or ASAP who underwent at least one rebiopsy during their follow-up, were enrolled. All enrollment biopsies underwent central pathologic revision. Risks for PCa were estimated using Fine and Gray method for competing risk. Pathologic revision changed the original diagnosis in 32.3% of cases. Among 336 cases enrolled, PCa was diagnosed in 164 (48.8%), and more specifically in 20 (30.3%) mHGPIN, 10 (34.5%) wHGPIN, 101 (54.0%) ASAP, and 33 (61.1%) HGPIN + ASAP (mean follow-up 124 months). Most PCa were Gleason score 6(3 + 3) (51.0%) and 7(3 + 4) (34.3%). On multivariate analysis, HGPIN + ASAP (HR 2.76, <i>p</i> &lt; 0.001) and ASAP alone (HR 2.41, <i>p</i> &lt; 0.001) were the only lesions significantly associated with PCa development. Of all cancers detected, 64.3% were at first rebiopsy. A rebiopsy performed within 3 months after ASAP diagnosis had a 45% chance of finding PCa. At Kaplan–Meier survival curves, median PCa-free survival was 48.1 months for HGPIN + ASAP and 64.9 months for ASAP (<i>p</i> 0.0005 at Log-rank test). At 1 year, 70% of HGPIN + ASAP, 73% of ASAP, 89% of wHGPIN, and 84% of mHGPIN were PCa-free. The diagnosis of ASAP and HGPIN strongly relies on the expertise of dedicated uro-pathologists. Finding of ASAP is a strong risk factor for a subsequent PCa diagnosis, advising a rebiopsy, possibly within 3 months. m/wHGPIN should not be routinely rebiopsied.
DOI: 10.6084/m9.figshare.20528307
title: Preoperative predictors of pathological tumour stage and prognosis may be used when selecting candidates for intensified treatment in upper tract urothelial carcinoma

description: Intensified treatment such as extended lymph node dissection (LND) and/or perioperative chemotherapy in addition to radical nephroureterectomy (RNU) has been suggested for high-risk cases of upper tract urothelial carcinoma (UTUC). We aimed to identify preoperative predictors of tumour stage and prognosis in the diagnostic work-up before RNU. Further to evaluate if our findings could be used in selecting patients for intensified treatment. A total of 179 patients treated with RNU for UTUC at Haukeland University Hospital (HUS) and Vestfold Hospital Trust (VHT) during 2005–2017 were included in this retrospective study. All relevant preoperative variables regarding the patient, the CT and the ureteroscopy (URS) were registered and analysed regarding their ability to predict non-organ confined disease (NOCD, pT3+ and/or N+) at final pathology after RNU. The prognosis was assessed calculating survival for the cohort and stratified by preoperative variables. Local invasion and pathological lymph nodes at CT predicted NOCD in uni and multivariate regression analyses (OR 3.36, <i>p</i>=.004 and OR 6.21, <i>p</i>=.03, respectively). Reactive oedema surrounding the tumour (OR 2.55, <i>p</i>=.02), tumour size (4.8 <i>vs.</i> 3.9 cm, <i>p</i>=.006) and high-grade tumour at URS biopsy (OR 3.59, <i>p</i>=.04) predicted NOCD at univariate regression analyses. The 5-year CSS and OS for the entire cohort was 79% and 60%. ECOG, local invasion, pathological lymph nodes and reactive oedema surrounding the tumour at CT predicted CSS. Several variables at the CT predicted both stage and survival. Local invasion at CT seems the most promising feature for selecting patients for intensified treatment.
DOI: 10.6084/m9.figshare.20528307.v1
title: Preoperative predictors of pathological tumour stage and prognosis may be used when selecting candidates for intensified treatment in upper tract urothelial carcinoma

description: Intensified treatment such as extended lymph node dissection (LND) and/or perioperative chemotherapy in addition to radical nephroureterectomy (RNU) has been suggested for high-risk cases of upper tract urothelial carcinoma (UTUC). We aimed to identify preoperative predictors of tumour stage and prognosis in the diagnostic work-up before RNU. Further to evaluate if our findings could be used in selecting patients for intensified treatment. A total of 179 patients treated with RNU for UTUC at Haukeland University Hospital (HUS) and Vestfold Hospital Trust (VHT) during 2005–2017 were included in this retrospective study. All relevant preoperative variables regarding the patient, the CT and the ureteroscopy (URS) were registered and analysed regarding their ability to predict non-organ confined disease (NOCD, pT3+ and/or N+) at final pathology after RNU. The prognosis was assessed calculating survival for the cohort and stratified by preoperative variables. Local invasion and pathological lymph nodes at CT predicted NOCD in uni and multivariate regression analyses (OR 3.36, <i>p</i>=.004 and OR 6.21, <i>p</i>=.03, respectively). Reactive oedema surrounding the tumour (OR 2.55, <i>p</i>=.02), tumour size (4.8 <i>vs.</i> 3.9 cm, <i>p</i>=.006) and high-grade tumour at URS biopsy (OR 3.59, <i>p</i>=.04) predicted NOCD at univariate regression analyses. The 5-year CSS and OS for the entire cohort was 79% and 60%. ECOG, local invasion, pathological lymph nodes and reactive oedema surrounding the tumour at CT predicted CSS. Several variables at the CT predicted both stage and survival. Local invasion at CT seems the most promising feature for selecting patients for intensified treatment.
DOI: 10.6084/m9.figshare.20528235.v1
title: NBClust_results_kmeans.xlsx

description: NBClust results
DOI: 10.6084/m9.figshare.20528235
title: NBClust_results_kmeans.xlsx

description: NBClust results
DOI: 10.34943/3441da95-2850-42b8-857b-08775caf2e99
title: Conception Bay Camera Lights Deployed 2022-08-21

description: The Aquorea Mk3 LED Light SN19001 was deployed on 2022-08-21 at Conception Bay. Conception Bay is located west of the city St. John's, Newfoundland. This device is a Camera Lights. Camera lights are used to improve visibility where cameras are deployed. Light controls and schedules can be remotely-controlled from on-shore using software. The length of time that lights are on is limited in order to minimize impact on the environment. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.6997569
title: Knowledge Graph 'Bergbeschau: Schwaz / Rottenburg / Rattenberg' Tyrol, 17th Century

description: The dataset contain a .nq file of a Knowledge Graph that is based on the extracted information / data of the historical document “Bergbeschau Schwaz/Rottenburg/Rattenberg” of the 17<sup>th</sup> century (approx. 1666). The document is currently stored by the Salinenarchiv Bad Ischl) using the Identifier XXD6. The dataset also encludes the affiliated RDF files and .csv files. The user of the KG may explore the mines associated mine sections as well as places of the historical mining areas in the mining district of Schwaz (Falkenstein, Ringenwechsel, Mehren, Reichental, Palleiten) as well as the mining district of Rattenberg (Groß-, Kleinkogel, Geyer). The ontology used to represent the claims is CIDOC CRM, an ISO certified ontology for Cultural Heritage documentation. Supported by the Karma tool the data is generated as RDF (Resource Description Framework). The generated RDF data is imported into a Triplestore, in this case GraphDB, and then displayed visually. This puts the data from the early mining texts into a semantically structured context and enables the exploration of a historical mining document from another perspective.
DOI: 10.5281/zenodo.6997568
title: Knowledge Graph 'Bergbeschau: Schwaz / Rottenburg / Rattenberg' Tyrol, 17th Century

description: The dataset contain a .nq file of a Knowledge Graph that is based on the extracted information / data of the historical document “Bergbeschau Schwaz/Rottenburg/Rattenberg” of the 17<sup>th</sup> century (approx. 1666). The document is currently stored by the Salinenarchiv Bad Ischl) using the Identifier XXD6. The dataset also encludes the affiliated RDF files and .csv files. The user of the KG may explore the mines associated mine sections as well as places of the historical mining areas in the mining district of Schwaz (Falkenstein, Ringenwechsel, Mehren, Reichental, Palleiten) as well as the mining district of Rattenberg (Groß-, Kleinkogel, Geyer). The ontology used to represent the claims is CIDOC CRM, an ISO certified ontology for Cultural Heritage documentation. Supported by the Karma tool the data is generated as RDF (Resource Description Framework). The generated RDF data is imported into a Triplestore, in this case GraphDB, and then displayed visually. This puts the data from the early mining texts into a semantically structured context and enables the exploration of a historical mining document from another perspective.
DOI: 10.5281/zenodo.4702545
title: QuoteKG

description: QuoteKG is a multilingual knowledge graph of quotations from famous people.
DOI: 10.5281/zenodo.5770516
title: QuoteKG

description: QuoteKG is a multilingual knowledge graph of quotes from famous people.
DOI: 10.5281/zenodo.4702544
title: QuoteKG

description: QuoteKG is a multilingual knowledge graph of quotes from famous people. QuoteKG Website
description: {"references": ["Tin Kuculo, Simon Gottschalk and Elena Demidova. QuoteKG: A Multilingual Knowledge Graph of Quotes. European Semantic Web Conference (ESWC). Springer, Cham, 2022."]}
DOI: 10.5281/zenodo.6385077
title: QuoteKG

description: QuoteKG is a multilingual knowledge graph of quotes from famous people. QuoteKG Website
description: {"references": ["Tin Kuculo, Simon Gottschalk and Elena Demidova. QuoteKG: A Multilingual Knowledge Graph of Quotes. European Semantic Web Conference (ESWC). Springer, Cham, 2022."]}
DOI: 10.5281/zenodo.6951802
title: Historical Mine Register & Place Gazetteer: Schwaz / Rottenburg / Rattenberg, Tyrol; 17th Century

description: The data of the historical registers is based on the historical document “Bergbeschau Schwaz/Rottenburg/Rattenberg” of the 17<sup>th</sup> century (approx. 1666). The document is currently stored by the Salinenarchiv Bad Ischl) using the Identifier XXD6.The document contains 6 coloured maps of the mining areas in the mining district of Schwaz (Falkenstein, Ringenwechsel, Mehren/Merach, Reichental, Palleiten) as well as the mining district of Rattenberg (Groß-, Kleinkogel, Geyer). Furthermore, it contains detailed mine descriptions and localisations of the mines in the maps. Historical Mine Register: Sorting is done by mining area, main pit / mine and associated mine sections. The historical writings of the mines and mine sections are summarized in separate columns (alternate writing). Mines written in capital letters symbolize latin characters within the historical document. All mines received an Identifier and URIs which lead to a Knowledge Graph (graph_Link). In a separate column the mines also received a standard spelling (mine_name_standard). The mentioned mines were compared to two geological maps created by Herwig Pirkl (1961). Mines that could be also be georeferenced by comparison also received a geo_link to OpenStreetMap as well as HIK (‘Historische Kartenwerke Tirol’). Finally, the historical mines of the “Bergbeschau” are also linked to the Knowledge Graph TMMMT (DOI: 10.5281/zenodo.6276586) of the UIBK Project „Text Mining Medieval Mining Texts“, whenever possible. The historical place gazetteer is in alphabetical order by place_standard. The historical writings of the place names are summarized in a separate column (alternate writing). Places written in capital letters symbolize latin characters within the historical document. All places received an Identifier and URIs which lead to a Knowledge Graph (graph_Link). In a separate column the places received their current standard spelling (place_standard). Places that could be also be georeferenced also received coordinates as well as a geo_link to OpenStreetMap. Finally, the historical places of the “Bergbeschau” are also linked to the Knowledge Graph TMMMT (DOI: 10.5281/zenodo.6276586) of the UIBK Project „Text Mining Medieval Mining Texts“, whenever possible.
DOI: 10.5281/zenodo.6951803
title: Historical Mine Register & Place Gazetteer: Schwaz / Rottenburg / Rattenberg, Tyrol; 17th Century

description: The data of the historical registers is based on the historical document “Bergbeschau Schwaz/Rottenburg/Rattenberg” of the 17<sup>th</sup> century (approx. 1666). The document is currently stored by the Salinenarchiv Bad Ischl) using the Identifier XXD6.The document contains 6 coloured maps of the mining areas in the mining district of Schwaz (Falkenstein, Ringenwechsel, Mehren/Merach, Reichental, Palleiten) as well as the mining district of Rattenberg (Groß-, Kleinkogel, Geyer). Furthermore, it contains detailed mine descriptions and localisations of the mines in the maps. Historical Mine Register: Sorting is done by mining area, main pit / mine and associated mine sections. The historical writings of the mines and mine sections are summarized in separate columns (alternate writing). Mines written in capital letters symbolize latin characters within the historical document. All mines received an Identifier and URIs which lead to a Knowledge Graph (graph_Link). In a separate column the mines also received a standard spelling (mine_name_standard). The mentioned mines were compared to two geological maps created by Herwig Pirkl (1961). Mines that could be also be georeferenced by comparison also received a geo_link to OpenStreetMap as well as HIK (‘Historische Kartenwerke Tirol’). Finally, the historical mines of the “Bergbeschau” are also linked to the Knowledge Graph TMMMT (DOI: 10.5281/zenodo.6276586) of the UIBK Project „Text Mining Medieval Mining Texts“, whenever possible. The historical place gazetteer is in alphabetical order by place_standard. The historical writings of the place names are summarized in a separate column (alternate writing). Places written in capital letters symbolize latin characters within the historical document. All places received an Identifier and URIs which lead to a Knowledge Graph (graph_Link). In a separate column the places received their current standard spelling (place_standard). Places that could be also be georeferenced also received coordinates as well as a geo_link to OpenStreetMap. Finally, the historical places of the “Bergbeschau” are also linked to the Knowledge Graph TMMMT (DOI: 10.5281/zenodo.6276586) of the UIBK Project „Text Mining Medieval Mining Texts“, whenever possible.
DOI: 10.5517/ccdc.csd.cc20djcb
title: CCDC 1859081: Experimental Crystal Structure Determination

description: Related Article: G. Kalaiarasi, S. Rex Jeya Rajkumar, S. Dharani, Nigam P. Rath, R. Prabhakaran|2019|Polyhedron|173|114120|doi:10.1016/j.poly.2019.114120
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.cc20djdc
title: CCDC 1859082: Experimental Crystal Structure Determination

description: Related Article: G. Kalaiarasi, S. Rex Jeya Rajkumar, S. Dharani, Nigam P. Rath, R. Prabhakaran|2019|Polyhedron|173|114120|doi:10.1016/j.poly.2019.114120
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.cc1zt262
title: CCDC 1841344: Experimental Crystal Structure Determination

description: Related Article: Julia A. Eremina, Elizaveta V. Lider, Denis G. Samsonenko, Liliya A. Sheludyakova, Alexey S. Berezin, Lyubov S. Klyushova, Vladimir A. Ostrovskii, Rostislav E. Trifonov|2018|Inorg.Chim.Acta|487|138|doi:10.1016/j.ica.2018.12.011
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.cc20x3gj
title: CCDC 1874057: Experimental Crystal Structure Determination

description: Related Article: Anastasia D. Zubenko, Bayirta V. Egorova, Stepan N. Kalmykov, Nikolai E. Shepel, Valentina A. Karnoukhova, Ivan V. Fedyanin, Yuri V. Fedorov, Olga A. Fedorova|2019|Tetrahedron|75|2848|doi:10.1016/j.tet.2019.04.006
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.cc221gn8
title: CCDC 1908039: Experimental Crystal Structure Determination

description: Related Article: Julia A. Eremina, Elizaveta V. Lider, Taisiya S. Sukhikh, Ilia V. Eltsov, Natalia V. Kuratieva, Boris A. Zakharov, Liliya A. Sheludyakova, Lyubov S. Klyushova, Ekaterina A. Ermakova, Victor V. Dotsenko|2020|Polyhedron|178|114325|doi:10.1016/j.poly.2019.114325
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.cc221gp9
title: CCDC 1908040: Experimental Crystal Structure Determination

description: Related Article: Julia A. Eremina, Elizaveta V. Lider, Taisiya S. Sukhikh, Ilia V. Eltsov, Natalia V. Kuratieva, Boris A. Zakharov, Liliya A. Sheludyakova, Lyubov S. Klyushova, Ekaterina A. Ermakova, Victor V. Dotsenko|2020|Polyhedron|178|114325|doi:10.1016/j.poly.2019.114325
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.cc224w8d
title: CCDC 1911313: Experimental Crystal Structure Determination

description: Related Article: Helen Stoeckli-Evans, Dilovan S. Cati|2019|CSD Communication|||
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.cc224x49
title: CCDC 1911340: Experimental Crystal Structure Determination

description: Related Article: Melina de Azevedo Mello, Jéssica Fonseca Rodrigues, Thiago André Salgueiro Soares, Germana Michelle de Medeiros e Silva, Paulo Cesar Piquini, Bárbara Tirloni, Giovanna Machado, Ernesto Schulz Lang|2019|New J.Chem.|43|14196|doi:10.1039/C9NJ02046B
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.