cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6092/unibo/amsacta/7442
title: Data – Validation of the vertebral superficial strains in a finite element model of a human spine segment

description: Vertebral fractures cannot currently be predicted accurately in clinics, where the adopted scores have limitations in identifying subjects at risk. In this context, CT-based finite element (FE) models might improve fracture risk prediction. Many proposed FE models consider single vertebrae only, thereby neglecting the role of the intervertebral discs in load transmission and distribution across vertebrae. Multi-vertebrae models would allow the inclusion of more physiological boundary conditions in the simulation thanks to the discs' inclusion. Nevertheless, while CT allows material properties to be assigned to the vertebrae according to the Hounsfield Units, no information about the discs' mechanical properties is provided. Hence, the aim of this study was to validate against experimental data a CT-based multi-vertebrae FE model where linear isotropic material properties were assigned to the discs. The CT-based FE model of a multi-vertebrae specimen was built, where Young’s modulus populations values in the literature range were assigned to the discs. Boundary conditions were assigned coherently with experiments performed on the specimen and the computational strains on the vertebrae surface compared to the experimental strains coming from digital image correlation measurements. The strains on the vertebral surface increased following the increase of the discs' Young’s modulus, with no changes in their local distributions. Although Young’s modulus values around 25-30 MPa yielded comparable orders of magnitude between numerical and experimental strains, strains local distribution differed substantially. In conclusion, subject-specific discs’ material properties should be included in CT-based multi-vertebrae FE models in order to achieve acceptable accuracy in fracture risk assessment.

In particular, the dataset contains experimental data obtained using the digital image correlation technique, referred to by the acronym DIC, and the results of finite element model simulations, whose values are given under the acronym FEM, in terms of displacement vectors in the three Cartesian directions (X,Y,Z) and maximum and minimum principal strains. Moreover, the locations (X,Y,Z) of the comparison points on the vertebral surfaces are reported. Also, the identification number (ID) of the comparison points is reported, in this way using the connectivity lists, also reported, it is possible to graphically visualize the data.
DOI: 10.5281/zenodo.10407266
title: Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023

description: Svalbard has experienced increased climate variability as a result of global warming, leading to significant mass loss in its marine-terminating glaciers over recent decades. Nevertheless, the mechanisms driving this mass loss remain less understood, primarily due to a limited understanding of calving dynamics. Here we present a new high-resolution calving front dataset of 149 marine-terminating glaciers in Svalbard, comprising 124919 glacier calving front positions during the period of 1985-2023. This dataset was generated using a novel automated deep learning framework and multiple optical and SAR satellite images from Landsat, Terra-ASTER, Sentinel-2, and Sentinel-1 satellite missions.

The information regarding the glacier calving front terminal traces, glacier centrelines, glacier domains, fjord masks and the along-centreline glacier calving front change time series is consolidated into a single Geopackage file named "Svalbard_Calving_Front_Product.gpkg." The specific file structure for this data file is detailed in Table 1, and the feature attribute table for the different data layers recorded in this data file can be found in Table 2.

Furthermore, we have included spatial distribution map plots of the glacier calving front traces and line plots depicting the time series of calving front changes for each individual glacier. These plots are provided in .PNG file format and can be accessed within the Figures folder.

Table 1. The layer structure of the Svalbard calving front data product.






Layer Name



Details





traces



Line geometries recording the terminal traces of all the glaciers (EPSG:3995).





centrelines



Line geometries recording the glacier centrelines used in calving front change estimation (EPSG:3995).





domains



Polygon geometries recording the glacier domains (EPSG:3995).





fjord_masks



Polygon geometries recording the fjord masks (EPSG:3995).





front_change_time_series



Point geometries recording the along-centreline glacier calving front change time series (EPSG:4326).





 

Table 2. The feature attribute table of the data layer.






Data Field



Description





Glacier



The Randolph Glacier Inventory (RGI) version 6 (RGI Consortium, 2017) glacier id.





Sensor



The satellite platform used in mapping glacier calving front, including “Landsat”, “Terra-ASTER”, “Sentinel2” and “Sentinel1”.





ImageId



The image id of the satellite image used in mapping the glacier calving front.





DateString



The datetime string of the satellite image in the format of “YYYYMMDD”.





CFL_Change



The calving front location (CFL) changes in meters along the glacier centreline in relation to the earliest calving front location in the time series.





glacier_lat



The latitude of the glacier location (WGS84 coordinate system).





glacier_lon



The longitude of the glacier location (WGS84 coordinate system).
DOI: 10.5281/zenodo.8387050
title: Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023

description: Svalbard has experienced increased climate variability as a result of global warming, leading to significant mass loss in its marine-terminating glaciers over recent decades. Nevertheless, the mechanisms driving this mass loss remain less understood, primarily due to a limited understanding of calving dynamics. Here we present a new high-resolution calving front dataset of 149 marine-terminating glaciers in Svalbard, comprising 124919 glacier calving front positions during the period of 1985-2023. This dataset was generated using a novel automated deep learning framework and multiple optical and SAR satellite images from Landsat, Terra-ASTER, Sentinel-2, and Sentinel-1 satellite missions.

The information regarding the glacier calving front terminal traces, glacier centrelines, glacier domains, fjord masks and the along-centreline glacier calving front change time series is consolidated into a single Geopackage file named "Svalbard_Calving_Front_Product.gpkg." The specific file structure for this data file is detailed in Table 1, and the feature attribute table for the different data layers recorded in this data file can be found in Table 2.

Furthermore, we have included spatial distribution map plots of the glacier calving front traces and line plots depicting the time series of calving front changes for each individual glacier. These plots are provided in .PNG file format and can be accessed within the Figures folder.

Table 1. The layer structure of the Svalbard calving front data product.






Layer Name



Details





traces



Line geometries recording the terminal traces of all the glaciers (EPSG:3995).





centrelines



Line geometries recording the glacier centrelines used in calving front change estimation (EPSG:3995).





domains



Polygon geometries recording the glacier domains (EPSG:3995).





fjord_masks



Polygon geometries recording the fjord masks (EPSG:3995).





front_change_time_series



Point geometries recording the along-centreline glacier calving front change time series (EPSG:4326).





 

Table 2. The feature attribute table of the data layer.






Data Field



Description





Glacier



The Randolph Glacier Inventory (RGI) version 6 (RGI Consortium, 2017) glacier id.





Sensor



The satellite platform used in mapping glacier calving front, including “Landsat”, “Terra-ASTER”, “Sentinel2” and “Sentinel1”.





ImageId



The image id of the satellite image used in mapping the glacier calving front.





DateString



The datetime string of the satellite image in the format of “YYYYMMDD”.





CFL_Change



The calving front location (CFL) changes in meters along the glacier centreline in relation to the earliest calving front location in the time series.





glacier_lat



The latitude of the glacier location (WGS84 coordinate system).





glacier_lon



The longitude of the glacier location (WGS84 coordinate system).
DOI: 10.5281/zenodo.8387051
title: Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023

description: Svalbard has experienced increased climate variability as a result of global warming, leading to significant mass loss in its marine-terminating glaciers over recent decades. Nevertheless, the mechanisms driving this mass loss remain less understood, primarily due to a limited understanding of calving dynamics. Here we present a new high-resolution calving front dataset of 149 marine-terminating glaciers in Svalbard, comprising 124919 glacier calving front positions during the period of 1985-2023. This dataset was generated using a novel automated deep learning framework and multiple optical and SAR satellite images from Landsat, Terra-ASTER, Sentinel-2, and Sentinel-1 satellite missions. The dataset comprises 149 folders, each representing a distinct glacier. Each glacier folder contains the following five different files: a shapefile recording all the terminus traces of this glacier mapped in our study under the projection EPSG:3995; a shapefile containing the glacier centreline used in measuring the calving front migrations under the projection EPSG:3995; a .CSV file recording the glacier calving front change time series along the centreline in relation to the earliest time stamp; a .PNG file showing the geolocation of this glacier and its calving front traces; a .PNG file showing the calving front change time series along the glacier centreline. <strong>Calving Front Trace Shapefile Feature Attribute Table</strong> <strong>Data Field</strong> <strong>Description</strong> Glacier The Randolph Glacier Inventory (RGI) version 6 (RGI Consortium, 2017) glacier id. Sensor The satellite platform used in mapping glacier calving front, including “Landsat”, “Terra-ASTER”, “Sentinel2” and “Sentinel1”. ImageId The image id of the satellite image used in mapping the glacier calving front. DateString The datetime string of the satellite image in the format of “YYYYMMDD”. CFL_Change The calving front location (CFL) changes in meters along the glacier centreline in relation to the earliest calving front location in the time series.
description: {"references": ["RGI Consortium: Randolph Glacier Inventory (RGI) \u2013 A Dataset of Global Glacier Outlines: Version 6.0, Boulder, Colorado, USA, https://doi.org/10.7265/N5-RGI-60, 2017."]}
DOI: 10.5281/zenodo.8399899
title: Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023

description: Svalbard has experienced increased climate variability as a result of global warming, leading to significant mass loss in its marine-terminating glaciers over recent decades. Nevertheless, the mechanisms driving this mass loss remain less understood, primarily due to a limited understanding of calving dynamics. Here we present a new high-resolution calving front dataset of 149 marine-terminating glaciers in Svalbard, comprising 124919 glacier calving front positions during the period of 1985-2023. This dataset was generated using a novel automated deep learning framework and multiple optical and SAR satellite images from Landsat, Terra-ASTER, Sentinel-2, and Sentinel-1 satellite missions. The information regarding the glacier calving front terminal traces, glacier centrelines, glacier domains, and the along-centreline glacier calving front change time series is consolidated into a single Geopackage file named "Svalbard_Calving_Front_Product.gpkg." The specific file structure for this data file is detailed in Table 1, and the feature attribute table for the different data layers recorded in this data file can be found in Table 2. Furthermore, we have included spatial distribution map plots of the glacier calving front traces and line plots depicting the time series of calving front changes for each individual glacier. These plots are provided in .PNG file format and can be accessed within the Figures folder. Table 1. The layer structure of the Svalbard calving front data product. <strong>Layer Name</strong> <strong>Details</strong> traces Line geometries recording the terminal traces of all the glaciers (EPSG:3995). centrelines Line geometries recording the glacier centrelines used in calving front change estimation (EPSG:3995). domains Polygon geometries recording the glacier domains (EPSG:3995). front_change_time_series Point geometries recording the along-centreline glacier calving front change time series (EPSG:4326). Table 2. The feature attribute table of the data layer. <strong>Data Field</strong> <strong>Description</strong> Glacier The Randolph Glacier Inventory (RGI) version 6 (RGI Consortium, 2017) glacier id. Sensor The satellite platform used in mapping glacier calving front, including “Landsat”, “Terra-ASTER”, “Sentinel2” and “Sentinel1”. ImageId The image id of the satellite image used in mapping the glacier calving front. DateString The datetime string of the satellite image in the format of “YYYYMMDD”. CFL_Change The calving front location (CFL) changes in meters along the glacier centreline in relation to the earliest calving front location in the time series. glacier_lat The latitude of the glacier location (WGS84 coordinate system). glacier_lon The longitude of the glacier location (WGS84 coordinate system).
description: {"references": ["RGI Consortium: Randolph Glacier Inventory (RGI) \u2013 A Dataset of Global Glacier Outlines: Version 6.0, Boulder, Colorado, USA, https://doi.org/10.7265/N5-RGI-60, 2017."]}
DOI: 10.6084/m9.figshare.24867501
title: Daten-Studie

description: Daten aus psychotherapeutischen Hochschulambulanz der psychologischen Institut der Universität Mainz
DOI: 10.6084/m9.figshare.24867501.v1
title: Daten-Studie

description: Daten aus psychotherapeutischen Hochschulambulanz der psychologischen Institut der Universität Mainz
DOI: 10.5519/qd.ypi0bhmo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (442 records)
DOI: 10.5281/zenodo.10407295
title: Land-Sea mask files for GEO satellites.

description: A collection of land-sea mask images, resampled and georeferenced to match the projection of various geostationary satellite sensors.

This is derived from Todd Karin's `global-land-mask` package: https://zenodo.org/records/4066722

In this version pixel values are as follows:

 - 0: Water

 - 1: Coastline

 - 2: Land

 - 255: Fill value
DOI: 10.5281/zenodo.10407296
title: Land-Sea mask files for GEO satellites.

description: A collection of land-sea mask images, resampled and georeferenced to match the projection of various geostationary satellite sensors.

This is derived from Todd Karin's `global-land-mask` package: https://zenodo.org/records/4066722

In this version pixel values are as follows:

 - 0: Water

 - 1: Coastline

 - 2: Land

 - 255: Fill value
DOI: 10.5281/zenodo.10405842
title: ASPH and Hypoxia Marker Expression in Head and Neck Carcinomas: Implications for HPV-Associated Tumours

description: Data open: file with parametres used for the multivariate evaluation. 
description: This work was supported by the Inter-Excellence programme (No. LTAUSA18003), and theProject National Institute of Virology and Bacteriology (Programme EXCELES, ID Project No.LX22NPO5103) - Funded by the European Union - Next Generation EU.
DOI: 10.5281/zenodo.10407303
title: Table S1: Complete list of identified IVD-related studies.

description:  Columns B-AB correspond to the original dataset obtained as described in the materials and methods section. Columns AC-AR result from the manual analysis of the selected studies.
DOI: 10.5281/zenodo.10407304
title: Table S1: Complete list of identified IVD-related studies.

description:  Columns B-AB correspond to the original dataset obtained as described in the materials and methods section. Columns AC-AR result from the manual analysis of the selected studies.
DOI: 10.5517/ccdc.csd.cc2c0bk9
title: CSD 2175070: Experimental Crystal Structure Determination

description: Related Article: Junyan Li, Alvaro Mayoral, Yoshihiro Kubota, Satoshi Inagaki, Jihong Yu, Osamu Terasaki|2022|Angew.Chem.,Int.Ed.|61|e202211196|doi:10.1002/anie.202211196
description: Related Article: Junyan Li|2022|CSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8397019
title: bachtiarrizkyal/Etika-TI: Dataset Analisis Dampak Bermain Game Mobile Legends

description: Dataset berisi data hasil respon survey terkait "Analisis Dampak Bermain Game Mobile Legends Terhadap Perilaku Toxic Anak-Anak Hingga Dewasa"
DOI: 10.5281/zenodo.8397020
title: bachtiarrizkyal/Etika-TI: Dataset Analisis Dampak Bermain Game Mobile Legends

description: Dataset berisi data hasil respon survey terkait "Analisis Dampak Bermain Game Mobile Legends Terhadap Perilaku Toxic Anak-Anak Hingga Dewasa"
DOI: 10.25377/sussex.20654757
title: Reanimating and rematriating WRAP (MMU, Workshop 1 and 2 with students). Documentation of the first of two reanimating data workshops with students at Manchester Metropolitan University: sexual learning and social change

description: In 2019-2020 the ESRC funded 'Reanimating data: experiments with people, places and archives'. Part of the project involved staging a series of reanimations using data from interviews with young women from Manchester, conducted thirty years previously as part of the Women, Risk and AIDS Project (WRAP 1988-1990). Each reanimation involved a collaboration between young women, educators and researchers and used creative methods to explore the WRAP data and bring it to life in new ways.  
<br>
This zip file contains materials relating to the first of two sessions carried out with students at Manchester Metropolitan University. Participants were Youth and Childhood Studies undergraduate students, predominantly young women living in the Greater Manchester area. They took part in four activities exploring sexual learning and social change. First they explored what 'jars' them about sex, sexuality and sexual learning, then they took part in a free writing exercise about how they learnt about sex and sexuality and thirdly they looked at extracts from interviews with young women in Manchester 30 years ago, taken from the WRAP archive. In each of the extracts young women are talking about how they learnt about sex and sexuality. Students read and discussed the extracts and then used them to create a collage exploring how young people have learnt about sex over time.   
<br>
The file contains:  

 images of from the 'what jars you?' actvity showing some students' 'jarrings'.  
 the WRAP extracts on sexual learning used in the session 
 Images of some of the speed writers on how students learn about sex and sexuality 
 images of the 'then and now' collages created by students using WRAP data extracts and their own speed writes 
 reflective notes by one of the faciltators describing the session activities and reflecting on student responses.
DOI: 10.25377/sussex.20654757.v1
title: Reanimating and rematriating WRAP (MMU, Workshop 1 and 2 with students). Documentation of the first of two reanimating data workshops with students at Manchester Metropolitan University: sexual learning and social change

description: In 2019-2020 the ESRC funded 'Reanimating data: experiments with people, places and archives'. Part of the project involved staging a series of reanimations using data from interviews with young women from Manchester, conducted thirty years previously as part of the Women, Risk and AIDS Project (WRAP 1988-1990). Each reanimation involved a collaboration between young women, educators and researchers and used creative methods to explore the WRAP data and bring it to life in new ways.  
<br>
This zip file contains materials relating to the first of two sessions carried out with students at Manchester Metropolitan University. Participants were Youth and Childhood Studies undergraduate students, predominantly young women living in the Greater Manchester area. They took part in four activities exploring sexual learning and social change. First they explored what 'jars' them about sex, sexuality and sexual learning, then they took part in a free writing exercise about how they learnt about sex and sexuality and thirdly they looked at extracts from interviews with young women in Manchester 30 years ago, taken from the WRAP archive. In each of the extracts young women are talking about how they learnt about sex and sexuality. Students read and discussed the extracts and then used them to create a collage exploring how young people have learnt about sex over time.   
<br>
The file contains:  

 images of from the 'what jars you?' actvity showing some students' 'jarrings'.  
 the WRAP extracts on sexual learning used in the session 
 Images of some of the speed writers on how students learn about sex and sexuality 
 images of the 'then and now' collages created by students using WRAP data extracts and their own speed writes 
 reflective notes by one of the faciltators describing the session activities and reflecting on student responses.
DOI: 10.6084/m9.figshare.24867519
title: database_typololy_mauriciokubo.xlsx

description: This research presents a typology of rural producers based on perceptions about climate change.
DOI: 10.5281/zenodo.10407332
title: Engineered poplar for bioproduction of the triterpene squalene

description: Building sustainable platforms to produce biofuels and specialty chemicals has become an increasingly important strategy to supplement and replace fossil fuels and petrochemical-derived products. Terpenoids are the most diverse class of natural products which have many commercial roles as specialty chemicals. Poplar is a fast growing, biomass dense bioenergy crop with many species known to produce large amounts of the hemiterpene isoprene, suggesting an inherent capacity to produce large amounts of other terpenes. Here we aimed to engineer poplar with optimized pathways to produce squalene, a triterpene commonly used in cosmetic oils, a potential biofuel candidate, and the precursor to the further diversified classes of triterpenoids and sterols. The squalene production pathways were either re-targeted from the cytosol to plastids or co-produced with lipid droplets in the cytosol. Squalene and lipid droplet co-production appeared to be toxic, which we hypothesize to be due to disruption of adventitious root formation, suggesting a need for tissue specific production. Plastidial squalene production enabled up to 0.63 mg/g fresh weight in leaf tissue, which also resulted in reductions in isoprene emission and photosynthesis. These results were also studied through a technoeconomic analysis, providing further insight into developing poplar as a production host.
description: This work was supported by the Great Lakes Bioenergy Research Center, U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under Award Number DE-SC0018409. We would also like to acknowledge partial support from the Department of Biochemistry and Molecular Biology startup funding and support from AgBioResearch (MICL02454).