cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2js452
title: Occurrence Download

description: A dataset containing 5550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crocodylus johnstoni Krefft, 1873, Crocodylus johnsoni Krefft, 1873)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5550 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006023-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b397wy
title: Occurrence Download

description: A dataset containing 5550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "AcceptedTaxonKey is one of (Crocodylus johnstoni Krefft, 1873, Crocodylus johnsoni Krefft, 1873)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5550 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006022-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2k60xq
title: CCDC 2359283: Experimental Crystal Structure Determination

description: Related Article: Zhichao Qi, Jinlin Hu, Zhijun Ruan, Yanmei Chen, Yanbo Qu, Xiangming Liang, Junqi Lin|2025|New J.Chem.|49|1451|doi:10.1039/D4NJ03482A
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.cc2k60zs
title: CCDC 2359285: Experimental Crystal Structure Determination

description: Related Article: Zhichao Qi, Jinlin Hu, Zhijun Ruan, Yanmei Chen, Yanbo Qu, Xiangming Liang, Junqi Lin|2025|New J.Chem.|49|1451|doi:10.1039/D4NJ03482A
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: 10.15468/dl.gakhs9
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coffea mangoroensis Portères"
 ]
}

 The dataset includes 199 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006025-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h63hz2
title: Occurrence Download

description: A dataset containing 157665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Celtis australis L., Cedrus atlantica (Endl.) Manetti ex Carriere, Ceratonia siliqua L., Corylus avellana L., Crataegus monogyna Jacq., Cupressus arizonica Greene, Cupressus sempervirens L., Cupressus macrocarpa Hartw. ex Gordon, Laurus nobilis L., Malus sylvestris Mill., Larix decidua Mill., Salix fragilis L., Salix caprea L., Picea abies (L.) H.Karst., Platanus ×hispanica Mill. ex Münchh., Pinus radiata D.Don, Phillyrea latifolia L., Pyrus cordata Desv., Populus ×canadensis Moench)",
 "Country is Spain"
 ]
}

 The dataset includes 157665 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006016-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25953919.v2
title: Data Set for An Efficient Recommendation Filtering-based Trust Model for Securing Internet of Things

description: This data set contains the codes and results of experiments conducted to evaluate the performance of a research work that investigates the security aspect of Internet of Things.
DOI: 10.15468/dl.cw4c3f
title: Occurrence Download

description: A dataset containing 357 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((12.73727 55.61608,12.74595 55.6156,12.75314 55.61608,12.75314 55.63213,12.73727 55.63213,12.73727 55.61608))"
 ]
}

 The dataset includes 357 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006028-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28105244
title: Tele-clinical item rating_dataset.xlsx

description: <b>Abstract </b><br><b>Background:</b> Tele-clinical supervision has extended beyond the COVID-19 pandemic, providing continuity in healthcare training while addressing accessibility, cost, and flexibility challenges. This study evaluates the first implementation of tele-clinical supervision in an undergraduate Speech and Language Therapy program, aiming to assess student experiences and validate an evaluation tool for tele-clinical education. <b>Methodology: </b>The study used a mixed-methods approach. Quantitative data from 128 students were collected using a 23-item evaluation tool covering Learning Environment, Supervisory Attributes, and Telehealth Teaching Practices. Qualitative insights from 13 participants were thematically analyzed. The tool was validated for reliability and psychometric robustness using expert feedback and statistical evidence.<b> Results: </b>The study involved 128 and 13 students in quantitative and qualitative phases respectively. Quantitative analysis showed high domain scores: Learning Environment 80.64%, Supervisory Attributes 81.67%, and Telehealth Teaching Practices 80.31%. Strong positive correlations between domains (r &gt; 0.86, p &lt; 0.001) indicated their interconnectedness. The 23-item evaluation tool demonstrated high internal consistency (Cronbach Alpha = 0.98) and a single-factor structure (Eigenvalue = 17.12, 74.44% variance explained). Qualitative data highlighted strengths in supervisor interaction and resource availability but noted challenges like session structure, connectivity, and limited peer learning. Students valued structured feedback and supervisor presence during tele-clinical sessions. <b>Conclusions: </b>Tele-clinical supervision effectively addresses training needs in resource-limited settings, achieving high student acceptance when systematically designed. Key strengths include professionalism, meaningful learning, and supervisor preparation. Challenges like peer learning, session structure, and connectivity must be addressed. The validated 23-item tool offers a reliable framework for improving tele-clinical education programs.
DOI: 10.6084/m9.figshare.28105244.v1
title: Tele-clinical item rating_dataset.xlsx

description: <b>Abstract </b><br><b>Background:</b> Tele-clinical supervision has extended beyond the COVID-19 pandemic, providing continuity in healthcare training while addressing accessibility, cost, and flexibility challenges. This study evaluates the first implementation of tele-clinical supervision in an undergraduate Speech and Language Therapy program, aiming to assess student experiences and validate an evaluation tool for tele-clinical education. <b>Methodology: </b>The study used a mixed-methods approach. Quantitative data from 128 students were collected using a 23-item evaluation tool covering Learning Environment, Supervisory Attributes, and Telehealth Teaching Practices. Qualitative insights from 13 participants were thematically analyzed. The tool was validated for reliability and psychometric robustness using expert feedback and statistical evidence.<b> Results: </b>The study involved 128 and 13 students in quantitative and qualitative phases respectively. Quantitative analysis showed high domain scores: Learning Environment 80.64%, Supervisory Attributes 81.67%, and Telehealth Teaching Practices 80.31%. Strong positive correlations between domains (r &gt; 0.86, p &lt; 0.001) indicated their interconnectedness. The 23-item evaluation tool demonstrated high internal consistency (Cronbach Alpha = 0.98) and a single-factor structure (Eigenvalue = 17.12, 74.44% variance explained). Qualitative data highlighted strengths in supervisor interaction and resource availability but noted challenges like session structure, connectivity, and limited peer learning. Students valued structured feedback and supervisor presence during tele-clinical sessions. <b>Conclusions: </b>Tele-clinical supervision effectively addresses training needs in resource-limited settings, achieving high student acceptance when systematically designed. Key strengths include professionalism, meaningful learning, and supervisor preparation. Challenges like peer learning, session structure, and connectivity must be addressed. The validated 23-item tool offers a reliable framework for improving tele-clinical education programs.
DOI: 10.3886/e217241v1
title: Replication Data EPSR

description: Replication data for paper in EPSR
DOI: 10.3886/e217241v2
title: Replication Data EPSR

description: Replication data for paper in EPSR
DOI: 10.5281/zenodo.11095272
title: Shorelines, elevation transects and environmental data for Drew Point, Ak study area, 2019-2022

description: This record consists of the shorelines, elevation transects and environmental data used for the Cryosphere preprint: Multiple modes of shoreline change along the Alaskan Beaufort Sea observed using ICESat-2 altimetry and satellite imagery. There are three primary datasets:

ERA-5 contains hourly output ERA5 reanalysis dataset (Hersbach et al., 2020, https://doi.org/10.24381/cds.adbb2d47) from a single pixel (-153.83, 70.87) from May 1st through November 30th for 2019, 2020, 2021, and 2022. It also contians a list of derived open water days for each year.

ICESat-2  contains the subsetted ATL03 photons (Neuman et. al, 2023, https://doi.org/10.5067/ATLAS/ATL03.006) for RGT 137 ground tracks 1r, 2r and 3r on 07 April 2019,  04 January 2020, 02 July 2021, and 31 December 2021, elevation profiles derived from SlideRule (Shean et al., 2023), and shoreline boundaries picked from the elevation profiles and Planet imagery. 

Planet_shorelines contains shorelines drived from 3m multispectral imagery from Planet Labs (Planet Team, 2024). This included shorelines used for year-to-year change (annual_coastlines) and for uncertainty analysis (uncertainty_coastlines).

More detailed information on each datasets can be found in each folder's README file.
DOI: 10.5281/zenodo.14503616
title: Shorelines, elevation transects and environmental data for Drew Point, Ak study area, 2019-2022

description: This record consists of the shorelines and their derived products, elevation transects and environmental data used for the Cryosphere preprint: Multiple modes of shoreline change along the Alaskan Beaufort Sea observed using ICESat-2 altimetry and satellite imagery. There are three primary datasets:

ERA-5 contains hourly output ERA5 reanalysis dataset (Hersbach et al., 2020, https://doi.org/10.24381/cds.adbb2d47) from a single pixel (-153.83, 70.87) from May 1st through November 30th for 2019, 2020, 2021, and 2022. It also contians a list of derived open water days for each year.

ICESat-2  contains the subsetted ATL03 photons (Neuman et. al, 2023, https://doi.org/10.5067/ATLAS/ATL03.006) for RGT 137 ground tracks 1r, 2r and 3r on 07 April 2019,  04 January 2020, 02 July 2021, and 31 December 2021, elevation profiles derived from SlideRule (Shean et al., 2023), and shoreline boundaries picked from the elevation profiles and Planet imagery. It also includes cross-shore transects used to project ICESat-2-derived changes into the local shoreline-perpindicular direction.

Planet_shorelines contains shorelines drived from 3m multispectral imagery from Planet Labs (Planet Team, 2024) as well as their derivatiev products. This included shorelines used for year-to-year change (annual_coastlines) and for uncertainty analysis (uncertainty_coastlines). It also includes the derived year-to year-change (shoreline_change), the baseline and cross-shore transects used to derived these change estiamtes, and a table with our derived annual shoreline change estimates compared with previously published estimates in this region.

More detailed information on each datasets can be found in each folder's README file.
DOI: 10.5281/zenodo.11095271
title: Shorelines, elevation transects and environmental data for Drew Point, Ak study area, 2019-2022

description: This record consists of the shorelines and their derived products, elevation transects and environmental data used for the Cryosphere preprint: Multiple modes of shoreline change along the Alaskan Beaufort Sea observed using ICESat-2 altimetry and satellite imagery. There are three primary datasets:

ERA-5 contains hourly output ERA5 reanalysis dataset (Hersbach et al., 2020, https://doi.org/10.24381/cds.adbb2d47) from a single pixel (-153.83, 70.87) from May 1st through November 30th for 2019, 2020, 2021, and 2022. It also contians a list of derived open water days for each year.

ICESat-2  contains the subsetted ATL03 photons (Neuman et. al, 2023, https://doi.org/10.5067/ATLAS/ATL03.006) for RGT 137 ground tracks 1r, 2r and 3r on 07 April 2019,  04 January 2020, 02 July 2021, and 31 December 2021, elevation profiles derived from SlideRule (Shean et al., 2023), and shoreline boundaries picked from the elevation profiles and Planet imagery. It also includes cross-shore transects used to project ICESat-2-derived changes into the local shoreline-perpindicular direction.

Planet_shorelines contains shorelines drived from 3m multispectral imagery from Planet Labs (Planet Team, 2024) as well as their derivatiev products. This included shorelines used for year-to-year change (annual_coastlines) and for uncertainty analysis (uncertainty_coastlines). It also includes the derived year-to year-change (shoreline_change), the baseline and cross-shore transects used to derived these change estiamtes, and a table with our derived annual shoreline change estimates compared with previously published estimates in this region.

More detailed information on each datasets can be found in each folder's README file.
DOI: 10.5281/zenodo.14777976
title: Shorelines, elevation transects and environmental data for Drew Point, Ak study area, 2019-2022

description: This record consists of the shorelines and their derived products, elevation transects and environmental data used for the Cryosphere preprint: Multiple modes of shoreline change along the Alaskan Beaufort Sea observed using ICESat-2 altimetry and satellite imagery. There are three primary datasets:

ERA-5 contains hourly output ERA5 reanalysis dataset (Hersbach et al., 2020, https://doi.org/10.24381/cds.adbb2d47) from a single pixel (-153.83, 70.87) from May 1st through November 30th for 2019, 2020, 2021, and 2022. It also contians a list of derived open water days for each year.

ICESat-2  contains the subsetted ATL03 photons (Neuman et. al, 2023, https://doi.org/10.5067/ATLAS/ATL03.006) for RGT 137 ground tracks 1r, 2r and 3r on 07 April 2019,  04 January 2020, 02 July 2021, and 31 December 2021, elevation profiles derived from SlideRule (Shean et al., 2023), and shoreline boundaries picked from the elevation profiles and Planet imagery. It also includes cross-shore transects used to project ICESat-2-derived changes into the local shoreline-perpindicular direction.

Planet_shorelines contains shorelines drived from 3m multispectral imagery from Planet Labs (Planet Team, 2024) as well as their derivatiev products. This included shorelines used for year-to-year change (annual_coastlines) and for uncertainty analysis (uncertainty_coastlines). It also includes the derived year-to year-change (shoreline_change), the baseline and cross-shore transects used to derived these change estiamtes, and a table with our derived annual shoreline change estimates compared with previously published estimates in this region.

More detailed information on each datasets can be found in each folder's README file.
DOI: 10.5281/zenodo.10599860
title: Harmonized terminology for scientific research

description: The Data Collection Framework (DCF) application is constituted of an interactive web-based application that aims at facilitating data exchange, data extraction, and data reusability. A harmonized terminology is used to collect and analyse data in a coherent way with the aim to support scientific research.


DCF_catalogues file contains all the valid catalogues published in the DCF. Catalogue format is compatible with Catalogue Browser (java application available here: https://github.com/openefsa/catalogue-browser/wiki)


Catalogue_list file contains the list of all catalogues, each with its scopenote, explaining the content of the catalogue itself.
description: EU; XLSX; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.14778056
title: Harmonized terminology for scientific research

description: The Data Collection Framework (DCF) application is constituted of an interactive web-based application that aims at facilitating data exchange, data extraction, and data reusability. A harmonized terminology is used to collect and analyse data in a coherent way with the aim to support scientific research.


DCF_catalogues file contains all the valid catalogues published in the DCF. Catalogue format is compatible with Catalogue Browser (java application available here: https://github.com/openefsa/catalogue-browser/wiki)


Catalogue_list file contains the list of all catalogues, each with its scopenote, explaining the content of the catalogue itself.
description: EU; XLSX; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.4495166
title: Harmonized terminology for scientific research

description: The Data Collection Framework (DCF) application is constituted of an interactive web-based application that aims at facilitating data exchange, data extraction, and data reusability. A harmonized terminology is used to collect and analyse data in a coherent way with the aim to support scientific research. DCF_catalogues file contains all the valid catalogues published in the DCF. Catalogue format is compatible with Catalogue Browser (java application available here: https://github.com/openefsa/catalogue-browser/wiki) Catalogue_list file contains the list of all catalogues, each with its scopenote, explaining the content of the catalogue itself.
description: EU; XLSX; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.5949025
title: Harmonized terminology for scientific research

description: The Data Collection Framework (DCF) application is constituted of an interactive web-based application that aims at facilitating data exchange, data extraction, and data reusability. A harmonized terminology is used to collect and analyse data in a coherent way with the aim to support scientific research. DCF_catalogues file contains all the valid catalogues published in the DCF. Catalogue format is compatible with Catalogue Browser (java application available here: https://github.com/openefsa/catalogue-browser/wiki) Catalogue_list file contains the list of all catalogues, each with its scopenote, explaining the content of the catalogue itself.
description: EU; XLSX; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7590216
title: Harmonized terminology for scientific research

description: The Data Collection Framework (DCF) application is constituted of an interactive web-based application that aims at facilitating data exchange, data extraction, and data reusability. A harmonized terminology is used to collect and analyse data in a coherent way with the aim to support scientific research. DCF_catalogues file contains all the valid catalogues published in the DCF. Catalogue format is compatible with Catalogue Browser (java application available here: https://github.com/openefsa/catalogue-browser/wiki) Catalogue_list file contains the list of all catalogues, each with its scopenote, explaining the content of the catalogue itself.
description: EU; XLSX; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.14778110
title: Metabolic modules identified in the Ascophyllum nodosum metagenome

description: Supplementary data for the thesis "Ecological and functional roles of microorganisms in the brown seaweed Ascophyllum nodosum holobiont"
DOI: 10.5281/zenodo.14778111
title: Metabolic modules identified in the Ascophyllum nodosum metagenome

description: Supplementary data for the thesis "Ecological and functional roles of microorganisms in the brown seaweed Ascophyllum nodosum holobiont"
DOI: 10.25403/upresearchdata.28312694
title: Analysing the second-order factor structure of the South African Personality Inventory (SAPI) using : sum scoring, weighted factor scoring and plausible values scoring

description: This study aimed to determine the impact that different scoring methods would have on the second-order factor structure of the South African Personality Inventory (SAPI) and whether using different scoring methods would influence the psychometric properties of the existing theoretical model of the SAPI in any way. This study identified that the data best supported the weighted factor sum scoring model.This study used a large set of secondary data consisting of the item responses of respondents who completed the SAPI obtained from previous studies in the analyses. A postpositivist paradigm and a cross-sectional research design were followed. The researcher compared the impact of various scoring methods on the second-order factor structure of the SAPI model. The sum scoring, factor score regression, and plausible values methods were used to evaluate the impact on the reliability and validity of the item scores.
DOI: 10.25403/upresearchdata.28312694.v1
title: Analysing the second-order factor structure of the South African Personality Inventory (SAPI) using : sum scoring, weighted factor scoring and plausible values scoring

description: This study aimed to determine the impact that different scoring methods would have on the second-order factor structure of the South African Personality Inventory (SAPI) and whether using different scoring methods would influence the psychometric properties of the existing theoretical model of the SAPI in any way. This study identified that the data best supported the weighted factor sum scoring model.This study used a large set of secondary data consisting of the item responses of respondents who completed the SAPI obtained from previous studies in the analyses. A postpositivist paradigm and a cross-sectional research design were followed. The researcher compared the impact of various scoring methods on the second-order factor structure of the SAPI model. The sum scoring, factor score regression, and plausible values methods were used to evaluate the impact on the reliability and validity of the item scores.