cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23729/b5d7b781-86e6-4794-b9ff-1a3cbf7e8548
title: Thin walls and overhangs

description: The data is part of a study published in: Reijonen, J., Revuelta, A., Metsä-Kortelainen, S., Salminen, A. Effect of hard and soft re-coater blade on porosity and processability of thin walls and overhangs in laser powder bed fusion additive manufacturing. Int J Adv Manuf Technol (2023). https://doi.org/10.1007/s00170-023-12853-5 . Please refer to this article for all the experimental details; how the data was acquired, processed, and used. For any re-use of the data, please cite the original publication. The speciments are as follows [ID, blade type, features, orientation]: Ajo461_1, soft blade, thin walls, 0 deg, Ajo461_2, soft blade, overhangs, 90 deg, Ajo461_3, soft blade, thin walls, 90 deg, Ajo461_4, soft blade, thin walls, 45 deg, Ajo461_5 soft blade, overhangs, 0 deg, Ajo463_1, hard blade, thin walls, 0 deg, Ajo463_2, hard blade, overhangs, 90 deg, Ajo463_3, hard blade, thin walls, 90 deg, Ajo463_4, hard blade, thin walls, 45 deg, Ajo463_5, hard blade, overhangs, 0 deg Preview dataset found at https://doi.org/10.23729/7325c282-83d7-433a-be65-a905faa81d03 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.6084/m9.figshare.23804397
title: Impact of tidal shear fronts on terrigenous sediment transport in the Yellow River Mouth: observations and a synthesis

description: Observational and modeling studies have been conducted to investigate the impact of a reversed tidal shear front (TSF) on the transport of freshwater and sediment in the Yellow River Mouth (YRM). The TSF duration is only about 40% of a tidal cycle; however, sediment transport across the frontal zone does not become more significant when the front disappears. This suggests that the mechanism of cross-frontal sediment transport remains unclear. In this study, synchronous observations of water and sediment along the river mouth profiles at the YRM in 1995, 2003, and 2019 were used to investigate the long-term variation characteristics, mechanisms, and impacts of the TSF on cross-frontal sediment transport. The results indicate that in addition to the reversed TSF, there are also homogenous TSF during flood and ebb tides, with the ebb homogenous TSF being more significant due to tidal asymmetry in the YRM. The ebb homogenous TSF is located between shallow shoals and the slopes of the subaqueous delta front and lasts for about 3 hours around the maximum ebb. Its maximum shear strength is similar to that of the reversed TSF, and the formation mechanism is also similar. The presence of the ebb homogenous TSF reduces the efficiency of cross-frontal sediment transport during the ebb. The reversed and homogenous TSF alternately block sediment moving towards the sea, causing some freshwater and sediment transported across the front during the ebb to be carried back by the flood current. As a result, terrigenous sediment cannot be transported across the frontal zone to the central Bohai Sea by tidal currents solely. Over the past two decades of low discharge, with the Yellow River implementing artificial water and sediment regulation, the homogenous TSF during the ebb tide has become more and more important and cannot be neglected for cross-frontal sediment transport under normal conditions. Furthermore, from a long-term perspective, the shear strength of the TSF is positively correlated with the distance of river mouth siltation into the sea. Additionally, salinity and turbidity gradients are also positively correlated with the shear strength in the estuary. This indicates that the blocking of cross-frontal sediment transport by the TSF is a key process in river-sea interaction in the YRM.
DOI: 10.6084/m9.figshare.23804397.v2
title: Impact of tidal shear fronts on terrigenous sediment transport in the Yellow River Mouth: observations and a synthesis

description: Observational and modeling studies have been conducted to investigate the impact of a reversed tidal shear front (TSF) on the transport of freshwater and sediment in the Yellow River Mouth (YRM). The TSF duration is only about 40% of a tidal cycle; however, sediment transport across the frontal zone does not become more significant when the front disappears. This suggests that the mechanism of cross-frontal sediment transport remains unclear. In this study, synchronous observations of water and sediment along the river mouth profiles at the YRM in 1995, 2003, and 2019 were used to investigate the long-term variation characteristics, mechanisms, and impacts of the TSF on cross-frontal sediment transport. The results indicate that in addition to the reversed TSF, there are also homogenous TSF during flood and ebb tides, with the ebb homogenous TSF being more significant due to tidal asymmetry in the YRM. The ebb homogenous TSF is located between shallow shoals and the slopes of the subaqueous delta front and lasts for about 3 hours around the maximum ebb. Its maximum shear strength is similar to that of the reversed TSF, and the formation mechanism is also similar. The presence of the ebb homogenous TSF reduces the efficiency of cross-frontal sediment transport during the ebb. The reversed and homogenous TSF alternately block sediment moving towards the sea, causing some freshwater and sediment transported across the front during the ebb to be carried back by the flood current. As a result, terrigenous sediment cannot be transported across the frontal zone to the central Bohai Sea by tidal currents solely. Over the past two decades of low discharge, with the Yellow River implementing artificial water and sediment regulation, the homogenous TSF during the ebb tide has become more and more important and cannot be neglected for cross-frontal sediment transport under normal conditions. Furthermore, from a long-term perspective, the shear strength of the TSF is positively correlated with the distance of river mouth siltation into the sea. Additionally, salinity and turbidity gradients are also positively correlated with the shear strength in the estuary. This indicates that the blocking of cross-frontal sediment transport by the TSF is a key process in river-sea interaction in the YRM.
DOI: 10.6084/m9.figshare.23804397.v3
title: Impact of tidal shear fronts on terrigenous sediment transport in the Yellow River Mouth: observations and a synthesis

description: Observational and modeling studies have been conducted to investigate the impact of a reversed tidal shear front (TSF) on the transport of freshwater and sediment in the Yellow River Mouth (YRM). The TSF duration is only about 40% of a tidal cycle; however, sediment transport across the frontal zone does not become more significant when the front disappears. This suggests that the mechanism of cross-frontal sediment transport remains unclear. In this study, synchronous observations of water and sediment along the river mouth profiles at the YRM in 1995, 2003, and 2019 were used to investigate the long-term variation characteristics, mechanisms, and impacts of the TSF on cross-frontal sediment transport. The results indicate that in addition to the reversed TSF, there are also homogenous TSF during flood and ebb tides, with the ebb homogenous TSF being more significant due to tidal asymmetry in the YRM. The ebb homogenous TSF is located between shallow shoals and the slopes of the subaqueous delta front and lasts for about 3 hours around the maximum ebb. Its maximum shear strength is similar to that of the reversed TSF, and the formation mechanism is also similar. The presence of the ebb homogenous TSF reduces the efficiency of cross-frontal sediment transport during the ebb. The reversed and homogenous TSF alternately block sediment moving towards the sea, causing some freshwater and sediment transported across the front during the ebb to be carried back by the flood current. As a result, terrigenous sediment cannot be transported across the frontal zone to the central Bohai Sea by tidal currents solely. Over the past two decades of low discharge, with the Yellow River implementing artificial water and sediment regulation, the homogenous TSF during the ebb tide has become more and more important and cannot be neglected for cross-frontal sediment transport under normal conditions. Furthermore, from a long-term perspective, the shear strength of the TSF is positively correlated with the distance of river mouth siltation into the sea. Additionally, salinity and turbidity gradients are also positively correlated with the shear strength in the estuary. This indicates that the blocking of cross-frontal sediment transport by the TSF is a key process in river-sea interaction in the YRM.
DOI: 10.17028/rd.lboro.23212757.v3
title: An overheating criterion for bedrooms in temperate climates: statistical analyses

description: This supplementary information contains worksheets of statistical analyses that underpin the narrative and bar charts presented in the following paper by the above authors: <em>An overheating criterion for bedrooms in temperate climates: Derivation and application</em>, published in Building Services Engineering Research & Technology in 2023. The analyses aim to identify the dwelling and household characteristics for which there are significant differences in the prevalence of overheating in the main bedrooms of English dwellings, where said prevalence is calculated using both an established adaptive overheating criterion, and the newly proposed criterion based on mean night-time bedroom temperatures.
<strong>Analysis method</strong>
The sample of 591 bedrooms is divided according to thirteen different dwelling categories (dwelling type, energy efficiency rating, etc.) delineated by dwelling characteristics (e.g., semi-detached, detached, flat, etc). The same approach is also used for EFUS questionnaire data describing the households, dividing according to eleven categories (tenure, income, age, etc.) delineated by household characteristics (e.g., privately owned or rented, social rent). In many cases, to clarify where statistical differences exist, characteristics are grouped together (e.g., overheating in flats is compared with that in all other dwelling types).
DOI: 10.17028/rd.lboro.23212757.v4
title: Supplementary information files for An overheating criterion for bedrooms in temperate climates

description: This supplementary information contains worksheets of statistical analyses that underpin the narrative and bar charts presented in the following paper by the above authors: <em>An overheating criterion for bedrooms in temperate climates: Derivation and application</em>, published in Building Services Engineering Research & Technology in 2023. The analyses aim to identify the dwelling and household characteristics for which there are significant differences in the prevalence of overheating in the main bedrooms of English dwellings, where said prevalence is calculated using both an established adaptive overheating criterion, and the newly proposed criterion based on mean night-time bedroom temperatures.
<strong>Analysis method</strong>
The sample of 591 bedrooms is divided according to thirteen different dwelling categories (dwelling type, energy efficiency rating, etc.) delineated by dwelling characteristics (e.g., semi-detached, detached, flat, etc). The same approach is also used for EFUS questionnaire data describing the households, dividing according to eleven categories (tenure, income, age, etc.) delineated by household characteristics (e.g., privately owned or rented, social rent). In many cases, to clarify where statistical differences exist, characteristics are grouped together (e.g., overheating in flats is compared with that in all other dwelling types).
DOI: 10.5281/zenodo.10458752
title: Data for Monego et al, Ligand-induced incompatible curvatures control ultrathin nanoplatelet polymorphism and chirality, PNAS (2024)
DOI: 10.5281/zenodo.10458753
title: Data for Monego et al, Ligand-induced incompatible curvatures control ultrathin nanoplatelet polymorphism and chirality, PNAS (2024)
DOI: 10.6084/m9.figshare.24942018
title: Primary data belonging to the article "DNA-damage induced allosteric activation of protein phosphatase PP1:NIPP1 through Src kinase-induced circularisation of NIPP1".

description: These data represent the primary data used in the manuscript entitled: "DNA-damage induced allosteric activation of protein phosphatase PP1:NIPP1 through Src kinase-induced circularisation of NIPP1".
DOI: 10.6084/m9.figshare.24942018.v1
title: Primary data belonging to the article "DNA-damage induced allosteric activation of protein phosphatase PP1:NIPP1 through Src kinase-induced circularisation of NIPP1".

description: These data represent the primary data used in the manuscript entitled: "DNA-damage induced allosteric activation of protein phosphatase PP1:NIPP1 through Src kinase-induced circularisation of NIPP1".
DOI: 10.60520/ieda/113078
title: Lattice parameters, unit-cell volume of Al-bearing superhydrous phase B and velocity data of different models with various depth/pressure

description: The lattice parameters for samples and velocity data of different models used in the under review paper, "Effect of Al-incorporation on the sound velocities of superhydrous phase B at high pressure and high temperature", submitted to the journal 'Geophysical Research Letters'. The lattice parameters of samples are obtained at room pressure and temperature conditions. Velocity data of different hydrous models are determined by sound velocity mensurement in SPring-8.
description: Xu, C., Gréaux, S., Inoue, T., Noda, M., Sun, W., Kuwahara, H., & Higo, Y. (2020). Sound velocities of Al-bearing phase D up to 22 GPa and 1300 K. Geophys. Res. Lett., 47, e2020GL088877
DOI: 10.5281/zenodo.8429200
title: Globe230k: A Benchmark Dense-Pixel Annotation Dataset for Global Land Cover Mapping

description: We (Intelligent Mining and Analysis of Remote Sensing big data, IMARS) create a large-scale annotated dataset (Globe230k) for land use/land cover (LULC) mapping, which is annotated on Google Earth image of 1 m spatial resolution. Globe230k is annotated by numerous experts and students major in survey and mapping after necessary training, through visual interpretation on very high-resolution images, as well as in-situ field survey, under the guidance of the organized annotation pipeline. Globe230k has three superiorities: 1) Large scale: the Globe230k includes 232,819 annotated images with the size of 512x512 and spatial resolution of 1 m, with more than 3x10<sup>10</sup> annotated pixels, and it includes 10 first-level categories. 2) Rich diversity: the annotated images are sampled from worldwide regions, with coverage area of over 60,000 km<sup>2</sup>, indicating a high variability and diversity. Besides, in order to ensure the category balance, we intentionally give more chance to the rare categories to be sampled, such as wetland, ice/snow, etc. 3) Multi-modal: Globe230k not only contains RGB bands, but also include other important features for Earth system research, such as Normalized differential vegetation index (NDVI), digital elevation model (DEM), vertical-vertical polarization (VV) bands, vertical-horizontal polarization (VH) bands, which can facilitate the multi-modal data fusion research.(This part will updating soon). The image patches and their corresponding annotated patches are respectively stored in "patch_image.rar" and "patch_label.rar" file. The RGB image is in forms of ".jpg", with size of 512x512, the pixel value is ranged from 0-255. The annotated patches is in forms of ".png", also with size of 512x512, the pixel value is ranged from 1-10, which respectively represent 1#cropland, 2#forest, 3#grass, 4#shrubland, 5#wetland, 6#water, 7#tundra, 8#impervious, 9#bareland, 10#ice/snow. The total 232,819 pairs are officially divided into training set, validation set, and test set, based on ratio of 7:1:2, which can be find in "train.txt","val.txt","test.txt" file. Based on this division, the official baseline accuracy of several state-of-the-art semantic segmentation can be found in the related arcticle (https://spj.science.org/doi/10.34133/remotesensing.0078). We hope it can be used as a benchmark to promote further development of global land cover mapping and semantic segmentation algorithm development.
DOI: 10.5281/zenodo.10279734
title: Globe230k: A Benchmark Dense-Pixel Annotation Dataset for Global Land Cover Mapping

description: We (Intelligent Mining and Analysis of Remote Sensing big data, IMARS) create a large-scale annotated dataset (Globe230k) for land use/land cover (LULC) mapping, which is annotated on Google Earth image of 1 m spatial resolution. Globe230k is annotated by numerous experts and students major in survey and mapping after necessary training, through visual interpretation on very high-resolution images, as well as in-situ field survey, under the guidance of the organized annotation pipeline. Globe230k has three superiorities:
1) Large scale: the Globe230k includes 232,819 annotated images with the size of 512x512 and spatial resolution of 1 m, with more than 3x1010 annotated pixels, and it includes 10 first-level categories. 
2) Rich diversity: the annotated images are sampled from worldwide regions, with coverage area of over 60,000 km2, indicating a high variability and diversity. Besides, in order to ensure the category balance, we intentionally give more chance to the rare categories to be sampled, such as wetland, ice/snow, etc.
3) Multi-modal: Globe230k not only contains RGB bands, but also include other important features for Earth system research, such as Normalized differential vegetation index (NDVI), digital elevation model (DEM), vertical-vertical polarization (VV) bands, vertical-horizontal polarization (VH) bands, which can facilitate the multi-modal data fusion research. Due to the large size of the multi-modal dataset (DEM 1.91G, NDVI 164G, VVVH 372G), these dataset are stored on Baidu Yunpan, the download link is :https://pan.baidu.com/s/12AKbiqOXSf4fnm7mYkCE0g?pwd=230k, the extraction code is 230k.
The image patches and their corresponding annotated patches are respectively stored in "patch_image.rar" and "patch_label.rar" file. The RGB image is in forms of ".jpg", with size of 512x512, the pixel value is ranged from 0-255. The annotated patches is in forms of ".png", also with size of 512x512, the pixel value is ranged from 1-10, which respectively represent 1#cropland, 2#forest, 3#grass, 4#shrubland, 5#wetland, 6#water, 7#tundra, 8#impervious, 9#bareland, 10#ice/snow. The corresponding DEM, NDVI and VVVH patches are all in form of ".tif", with size of 512x512 (due to the different resolution of DEM, NDVI and VVVH patches, they are all uniformly resized to the same scale as the image patch). 
The total 232,819 pairs are officially divided into training set, validation set, and test set, based on ratio of 7:1:2, which can be find in "train.txt","val.txt","test.txt" file. Based on this division, the official baseline accuracy of several state-of-the-art semantic segmentation can be found in the related arcticle (https://spj.science.org/doi/10.34133/remotesensing.0078).
We hope it can be used as a benchmark to promote further development of global land cover mapping and semantic segmentation algorithm development.
DOI: 10.5281/zenodo.10435661
title: Globe230k: A Benchmark Dense-Pixel Annotation Dataset for Global Land Cover Mapping

description: We (Intelligent Mining and Analysis of Remote Sensing big data, IMARS) create a large-scale annotated dataset (Globe230k) for land use/land cover (LULC) mapping, which is annotated on Google Earth image of 1 m spatial resolution. Globe230k is annotated by numerous experts and students major in survey and mapping after necessary training, through visual interpretation on very high-resolution images, as well as in-situ field survey, under the guidance of the organized annotation pipeline. Globe230k has three superiorities:

1) Large scale: the Globe230k includes 232,819 annotated images with the size of 512x512 and spatial resolution of 1 m, with more than 3x1010 annotated pixels, and it includes 10 first-level categories. 

2) Rich diversity: the annotated images are sampled from worldwide regions, with coverage area of over 60,000 km2, indicating a high variability and diversity. Besides, in order to ensure the category balance, we intentionally give more chance to the rare categories to be sampled, such as wetland, ice/snow, etc.

3) Multi-modal: Globe230k not only contains RGB bands, but also include other important features for Earth system research, such as Normalized differential vegetation index (NDVI), digital elevation model (DEM), vertical-vertical polarization (VV) bands, vertical-horizontal polarization (VH) bands, which can facilitate the multi-modal data fusion research. Due to the large size of the multi-modal dataset (DEM 1.91G, NDVI 164G, VVVH 372G), these dataset are stored on Baidu Yunpan, the download link is :https://pan.baidu.com/s/12AKbiqOXSf4fnm7mYkCE0g?pwd=230k, the extraction code is 230k.

The image patches and their corresponding annotated patches are respectively stored in "image_patch.zip" and "label_patch.zip" file. The RGB image is in forms of ".jpg", with size of 512x512, the pixel value is ranged from 0-255. The annotated patches is in forms of ".png", also with size of 512x512, the pixel value is ranged from 1-10, which respectively represent 1#cropland, 2#forest, 3#grass, 4#shrubland, 5#wetland, 6#water, 7#tundra, 8#impervious, 9#bareland, 10#ice/snow. The corresponding DEM, NDVI and VVVH patches are all in form of ".tif", with size of 512x512 (due to the different resolution of DEM, NDVI and VVVH patches, they are all uniformly resized to the same scale as the image patch). 

The total 232,819 pairs are officially divided into training set, validation set, and test set, based on ratio of 7:1:2, which can be find in "train_num.txt","val_num.txt","test_num.txt" file. Based on this division, the official baseline accuracy of several state-of-the-art semantic segmentation can be found in the related arcticle (https://spj.science.org/doi/10.34133/remotesensing.0078).

We hope it can be used as a benchmark to promote further development of global land cover mapping and semantic segmentation algorithm development.