cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/dde430c4-7f9f-4d7b-bff1-d4792e0031f2
title: Replication dataset for "Fine sediment in mixed sand-silt environments impacts bedform geometry by altering sediment mobility"

description: This is the data underlying the publication "Fine sediment in mixed sand-silt environments impact bedform geometry by altering sediment mobility".It consists of the laser scanner data (elevation scans of the bedforms), the ubertone data (velocity profiles), and the corresponding scripts to read out the data from the source files.<br>Abstract: Geometric characteristics of subaqueous bedforms, such as height, length and leeside angle, are crucial for determining hydraulic form roughness and interpreting sedimentary records. Traditionally, bedform existence and geometry are predicted with phase diagrams and empirical equations, primarily based on uniform, cohesionless sediments. However, mixtures of sand, silt and clay are common in deltaic, estuarine, and lowland river environments, where bedforms are ubiquitous. The exact influence of these mixed sediments on bedform dimensions remains unknown. Here, we investigate the impact of fine sand and silt in sand-silt mixtures on bedform geometry, based on laboratory experiments conducted in a 15 m long tilting, recirculating flume. We systematically varied the content of sand and silt for different discharges, and we utilised a UB-Lab 2C (a type of acoustic Doppler velocimeter) to measure flow velocity profiles. The final bed geometry was captured using a line laser scanner. Our findings reveal that the response of bedforms to mixtures is not straightforward and depends on several factors, including bimodality-driven bed mobility and cohesiveness. When fine, non-cohesive material (fine sand or coarse silt) is mixed with the base material, the hiding-exposure effect comes into play, resulting in enhanced mobility of the coarser material and leading to an increase in dune length. However, the addition of weakly-cohesive fine silt reduces the mobility, suppressing dune height and length. Finally, at the transition from the dune regime to upper stage plane bed, the bed becomes unstable and bedform heights vary over time. The composition of the bed material does not significantly impact the hydraulic roughness, but mainly affects roughness via the geometry of the bedforms, especially the leeside angle.
DOI: 10.4121/dde430c4-7f9f-4d7b-bff1-d4792e0031f2.v2
title: Replication dataset for "Fine sediment in mixed sand-silt environments impacts bedform geometry by altering sediment mobility"

description: This is the data underlying the publication "Fine sediment in mixed sand-silt environments impact bedform geometry by altering sediment mobility".It consists of the laser scanner data (elevation scans of the bedforms), the ubertone data (velocity profiles), and the corresponding scripts to read out the data from the source files.<br>Abstract: Geometric characteristics of subaqueous bedforms, such as height, length and leeside angle, are crucial for determining hydraulic form roughness and interpreting sedimentary records. Traditionally, bedform existence and geometry are predicted with phase diagrams and empirical equations, primarily based on uniform, cohesionless sediments. However, mixtures of sand, silt and clay are common in deltaic, estuarine, and lowland river environments, where bedforms are ubiquitous. The exact influence of these mixed sediments on bedform dimensions remains unknown. Here, we investigate the impact of fine sand and silt in sand-silt mixtures on bedform geometry, based on laboratory experiments conducted in a 15 m long tilting, recirculating flume. We systematically varied the content of sand and silt for different discharges, and we utilised a UB-Lab 2C (a type of acoustic Doppler velocimeter) to measure flow velocity profiles. The final bed geometry was captured using a line laser scanner. Our findings reveal that the response of bedforms to mixtures is not straightforward and depends on several factors, including bimodality-driven bed mobility and cohesiveness. When fine, non-cohesive material (fine sand or coarse silt) is mixed with the base material, the hiding-exposure effect comes into play, resulting in enhanced mobility of the coarser material and leading to an increase in dune length. However, the addition of weakly-cohesive fine silt reduces the mobility, suppressing dune height and length. Finally, at the transition from the dune regime to upper stage plane bed, the bed becomes unstable and bedform heights vary over time. The composition of the bed material does not significantly impact the hydraulic roughness, but mainly affects roughness via the geometry of the bedforms, especially the leeside angle.
DOI: 10.4121/99662eaf-ac79-4952-ad80-6d7de3708427.v1
title: Supporting data belonging to the publication On optimizing the sensor spacing for pressure measurements on wind turbine airfoils

description: This dataset is intended to support the findings of the publication "On optimizing the sensor spacing for pressure measurements on wind turbine airfoils" by Fritz, Kelley and Brown (2024). The dataset contains a Matlab routine that runs the pressure sensor optimization for the FFA-W3-241 airfoil based on a genetic algorithm as well as a sequential quadratic programming optimization routine. It imports results of the widely used code XFOIL as input. Results are compared against a cosine sensor spacing. This script aims to provide a simplified overview of how these optimization routines are implemented in Matlab and how the results can be interpreted.
DOI: 10.5281/zenodo.10518967
title: NuInsSeg: A fully annotated dataset for nuclei instance segmentation in H&E-stained histological images
DOI: 10.5281/zenodo.10518968
title: NuInsSeg: A fully annotated dataset for nuclei instance segmentation in H&E-stained histological images
DOI: 10.5281/zenodo.10522262
title: Ökosytem
DOI: 10.5281/zenodo.10522263
title: Ökosytem
DOI: 10.5517/ccdc.csd.cc2bhqvf
title: CCDC 2160075: Experimental Crystal Structure Determination

description: Related Article: Zhi-Rui Yuan, Zhi Wang, Bao-Liang Han, Cheng-Kai Zhang, Shan-Shan Zhang, Zhen-Yu Zhu, Jiu-Hong Yu, Tian-Duo Li, Ying-Zhou Li, Chen-Ho Tung, Di Sun|2022|Angew.Chem.,Int.Ed.|61|ee202211628|doi:10.1002/anie.202211628
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.cc2bhqwg
title: CCDC 2160076: Experimental Crystal Structure Determination

description: Related Article: Zhi-Rui Yuan, Zhi Wang, Bao-Liang Han, Cheng-Kai Zhang, Shan-Shan Zhang, Zhen-Yu Zhu, Jiu-Hong Yu, Tian-Duo Li, Ying-Zhou Li, Chen-Ho Tung, Di Sun|2022|Angew.Chem.,Int.Ed.|61|ee202211628|doi:10.1002/anie.202211628
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.cc2bhqxh
title: CCDC 2160077: Experimental Crystal Structure Determination

description: Related Article: Zhi-Rui Yuan, Zhi Wang, Bao-Liang Han, Cheng-Kai Zhang, Shan-Shan Zhang, Zhen-Yu Zhu, Jiu-Hong Yu, Tian-Duo Li, Ying-Zhou Li, Chen-Ho Tung, Di Sun|2022|Angew.Chem.,Int.Ed.|61|ee202211628|doi:10.1002/anie.202211628
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.cc2bhqyj
title: CCDC 2160078: Experimental Crystal Structure Determination

description: Related Article: Zhi-Rui Yuan, Zhi Wang, Bao-Liang Han, Cheng-Kai Zhang, Shan-Shan Zhang, Zhen-Yu Zhu, Jiu-Hong Yu, Tian-Duo Li, Ying-Zhou Li, Chen-Ho Tung, Di Sun|2022|Angew.Chem.,Int.Ed.|61|ee202211628|doi:10.1002/anie.202211628
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.cc2cjzkg
title: CCDC 2191066: Experimental Crystal Structure Determination

description: Related Article: Zhi-Rui Yuan, Zhi Wang, Bao-Liang Han, Cheng-Kai Zhang, Shan-Shan Zhang, Zhen-Yu Zhu, Jiu-Hong Yu, Tian-Duo Li, Ying-Zhou Li, Chen-Ho Tung, Di Sun|2022|Angew.Chem.,Int.Ed.|61|ee202211628|doi:10.1002/anie.202211628
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.cc2cjzlh
title: CCDC 2191067: Experimental Crystal Structure Determination

description: Related Article: Zhi-Rui Yuan, Zhi Wang, Bao-Liang Han, Cheng-Kai Zhang, Shan-Shan Zhang, Zhen-Yu Zhu, Jiu-Hong Yu, Tian-Duo Li, Ying-Zhou Li, Chen-Ho Tung, Di Sun|2022|Angew.Chem.,Int.Ed.|61|ee202211628|doi:10.1002/anie.202211628
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.cc2flmxl
title: CCDC 2252240: Experimental Crystal Structure Determination

description: Related Article: Chandra Shekhar Tiwari, Praseetha Mathoor Illam, Arnab Rit|2023|Chem.Asian J.|18|e202300484|doi:10.1002/asia.202300484
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.cc2flmzn
title: CCDC 2252242: Experimental Crystal Structure Determination

description: Related Article: Chandra Shekhar Tiwari, Praseetha Mathoor Illam, Arnab Rit|2023|Chem.Asian J.|18|e202300484|doi:10.1002/asia.202300484
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.cc2flmym
title: CCDC 2252241: Experimental Crystal Structure Determination

description: Related Article: Chandra Shekhar Tiwari, Praseetha Mathoor Illam, Arnab Rit|2023|Chem.Asian J.|18|e202300484|doi:10.1002/asia.202300484
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.cc2h9r9w
title: CCDC 2303278: Experimental Crystal Structure Determination

description: Related Article: Xiao-Li Liu, Shun-Jun Ji, Zhong-Jian Cai|2024|Chem.Commun.|60|730|doi:10.1039/D3CC05380F
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.cc2hbdx5
title: CCDC 2303917: Experimental Crystal Structure Determination

description: Related Article: Sohan Lal, Richard J. Staples, Jean'ne M. Shreeve|2024|Dalton Trans.|53|903|doi:10.1039/D3DT03954D
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.cc2gncxf
title: CCDC 2283705: Experimental Crystal Structure Determination

description: Related Article: Haitao Li, Zhenwei Guo, Tie Liu, Lianxin Xin, Fang Guo|2024|CrystEngComm|26|381|doi:10.1039/D3CE01038D
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.cc2fyv8j
title: CCDC 2263008: Experimental Crystal Structure Determination

description: Related Article: M. Woińska, A.A. Hoser, M.L. Chodkiewicz, K. Woźniak|2023|IUCrJ|11|45|doi:10.1107/S205225252300951X
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: 10.5281/zenodo.10479627
title: Live fuel moisture content estimates in the Western USA using radiometer-radar-lidar synergy

description: Publication: Chaparro et al. (2024)

This dataset contains estimates of Live Fuel Moisture Content (LFMC) in the Western United States. LFMC is the percentage of vegetation water mass over the dry biomass of the plants. Here, LFMC is retrieved by isolating the water component of the passive microwaves vegetation optical depth (VOD) signal at three frequencies: L-band (1.4 GHz), X-band (10.65 GHz) and Ku-band (18.7 GHz). Each frequency represents a different canopy sensing depth. To isolate LFMC from VOD, auxiliary information to account for the biomass and structure of the vegetation has been used: radar backscatter data from Sentinel-1 and canopy height data from GEDI/Sentinel-2. The dataset spans between April 2015 and December 2018 for L- and X-bands, and between April 2015 and July 2018 for Ku-band retrievals.

Details:



Period: April 2015 - December 2018 (daily resolution)

Gridding: 0.25º

Grid type: lat/lon

Size: 73 (lat) x 104 (lon) x 1371 (time)
DOI: 10.5281/zenodo.10479628
title: Live fuel moisture content estimates in the Western USA using radiometer-radar-lidar synergy

description: Publication: Chaparro et al. (2024)

This dataset contains estimates of Live Fuel Moisture Content (LFMC) in the Western United States. LFMC is the percentage of vegetation water mass over the dry biomass of the plants. Here, LFMC is retrieved by isolating the water component of the passive microwaves vegetation optical depth (VOD) signal at three frequencies: L-band (1.4 GHz), X-band (10.65 GHz) and Ku-band (18.7 GHz). Each frequency represents a different canopy sensing depth. To isolate LFMC from VOD, auxiliary information to account for the biomass and structure of the vegetation has been used: radar backscatter data from Sentinel-1 and canopy height data from GEDI/Sentinel-2. The dataset spans between April 2015 and December 2018 for L- and X-bands, and between April 2015 and July 2018 for Ku-band retrievals.

Details:



Period: April 2015 - December 2018 (daily resolution)

Gridding: 0.25º

Grid type: lat/lon

Size: 73 (lat) x 104 (lon) x 1371 (time)
DOI: 10.34740/kaggle/dsv/7420126
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5281/zenodo.10350413
title: A rapid method to quantify sub-micrometer polystyrene particles in aqueous model systems by TOC Analysis

description: This file contains datasets that were generated during laboratory-based experiments.
DOI: 10.5281/zenodo.10350414
title: A rapid method to quantify sub-micrometer polystyrene particles in aqueous model systems by TOC Analysis

description: This file contains datasets that were generated during laboratory-based experiments.
DOI: 10.5281/zenodo.10522331
title: Investigating Markers and Drivers of Gender Bias in Machine Translations -- Data and Code

description: This repository contains code and data relating to the paper "Investigating Markers and Drivers of Gender Bias in Machine Translations", to be presented at SANER 2024

Conference link: https://conf.researchr.org/home/saner-2024
DOI: 10.5281/zenodo.10522333
title: Investigating Markers and Drivers of Gender Bias in Machine Translations -- Data and Code

description: This repository contains code and data relating to the paper "Investigating Markers and Drivers of Gender Bias in Machine Translations", to be presented at SANER 2024

Conference link: https://conf.researchr.org/home/saner-2024
DOI: 10.5281/zenodo.10203470
title: Confocal Images of Breast Tissue

description: Crops of confocal images of human breast tissue collected with the Histolog Scanner in the frame of the Hibiscuss study.

Dataset of images as additional material to the publication ‘Breast Tissue Imaging Atlas using Ultra-Fast Confocal Microscopy to Identify Cancer Lesions’ by Marie-Christine Matthieu et al. published into Virchows Archive scientific journal.
DOI: 10.5281/zenodo.10497408
title: Confocal Images of Breast Tissue

description: Crops of confocal images of human breast tissue collected with the Histolog Scanner in the frame of the Hibiscuss study.

Dataset of images as additional material to the publication ‘Breast Tissue Imaging Atlas using Ultra-Fast Confocal Microscopy to Identify Cancer Lesions’ by Marie-Christine Matthieu et al. published into Virchows Archive scientific journal.
DOI: 10.5281/zenodo.10522358
title: Confocal Images of Breast Tissue

description: Crops of confocal images of human breast tissue collected with the Histolog Scanner in the frame of the Hibiscuss study.

Dataset of images as additional material to the publication ‘Breast Tissue Imaging Atlas using Ultra-Fast Confocal Microscopy to Identify Cancer Lesions’ by Marie-Christine Matthieu et al. published into Virchows Archive scientific journal.
DOI: 10.5281/zenodo.10522090
title: Signal data from photometers used in publication AMT-2023-108

description: The datasets correspond to raw signal data from the different photometers at diferent spectral bands employed to generate the results depicted in the different figures of the publication  AMT-2023-108.
DOI: 10.6084/m9.figshare.25009589.v1
title: datasheet.rar

description: The detailed data sheet for all figures relevant in manuscript and supplementary information.
DOI: 10.6084/m9.figshare.25009589
title: Source Data file.rar

description: The detailed data sheet for all figures relevant in manuscript and supplementary information.
DOI: 10.6084/m9.figshare.25009589.v3
title: Source Data file.rar

description: The detailed data sheet for all figures relevant in manuscript and supplementary information.
DOI: 10.6084/m9.figshare.25009589.v2
title: datasheet.rar

description: The detailed data sheet for all figures relevant in manuscript and supplementary information.
DOI: 10.6084/m9.figshare.21511530
title: Data from "Influence of soil copper and zinc levels on the abundance of methanotrophic, nitrifying, and N<sub>2</sub>O‑reducing microorganisms in drylands worldwide"

description: There are three spreadsheets with data. The spreadsheet "Data" contain raw environmental data used and the pmoA, archaeal and bacterial amoA and nosZI genes abundance. The spreadsheet "Soil properties" contains other informative properties of the sampling sites. The spreadsheet "Metadata" contains the descripton of all variables and units.
DOI: 10.6084/m9.figshare.25011938.v1
title: <b>In-cell NMR suggests that DNA i-motif levels are strongly depleted in living human cells.</b>

description: Source Data - primary (in-cell) NMR data in Bruker format
DOI: 10.6084/m9.figshare.25011938.v2
title: <b>Source data: In-cell NMR suggests that DNA i-motif levels are strongly depleted in living human cells.</b>

description: Source Data - primary (in-cell) NMR data in Bruker format
DOI: 10.6084/m9.figshare.25011938
title: <b>Source data: In-cell NMR suggests that DNA i-motif levels are strongly depleted in living human cells.</b>

description: Source Data - primary (in-cell) NMR data in Bruker format
DOI: 10.6084/m9.figshare.25011938.v3
title: <b>Source data: In-cell NMR suggests that DNA i-motif levels are strongly depleted in living human cells.</b>

description: Source Data - primary (in-cell) NMR data in Bruker format
DOI: 10.5281/zenodo.10522408
title: Data supporting "Frame-by-frame observations of structure fluctuations in single mass-selected Au clusters using aberration-corrected electron microscopy"

description: Image data of Au 309 clusters in support of the paper "Frame-by-frame observations of structure fluctuations in single mass-selected Au clusters using aberration-corrected electron microscopy".
DOI: 10.5281/zenodo.10522409
title: Data supporting "Frame-by-frame observations of structure fluctuations in single mass-selected Au clusters using aberration-corrected electron microscopy"

description: Image data of Au 309 clusters in support of the paper "Frame-by-frame observations of structure fluctuations in single mass-selected Au clusters using aberration-corrected electron microscopy".
DOI: 10.5281/zenodo.10522336
title: CPFEM Dataset: Stress-Strain Analysis of a Polycrystal with Random Texture
DOI: 10.5281/zenodo.10522337
title: CPFEM Dataset: Stress-Strain Analysis of a Polycrystal with Random Texture