cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10808364
title: Slice-by-Slice X-ray Tomography dataset of Dog Toy

description: This submission contains a dataset used in the paper

"Ajinkya Kadu, Felix Lucka, and K. Joost Batenburg. "Single-shot Tomography of Discrete Dynamic Objects." arXiv preprint arXiv:2311.05269 (2023)."

The data collection has been acquired using a highly flexible, programmable and custom-built X-ray CT scanner, the FleX-ray scanner, developed by TESCAN-XRE NV, located in the FleX-ray Lab at the Centrum Wiskunde & Informatica (CWI) in Amsterdam, Netherlands. It consists of a cone-beam microfocus X-ray point source (limited to 90 kV and 90 W) that projects polychromatic X-rays onto a 14-bit CMOS (complementary metal-oxide semiconductor) flat panel detector with CsI(Tl) scintillator (Dexella 1512NDT). To create a 2D dataset, a fan-beam geometry was mimicked by only reading out the central row of the detector, which results in 956 detector pixel with an effective length of 149.6 μm each. Between source and detector there is a rotation stage, upon which the sample was mounted. The sample that we imaged was a dog toy in a shape of a bone made of a rubber. The X-ray tube voltage was 90kV and a copper filter was used to block the low-energy part of the spectrum to limit beam-hardening artifacts. The source-to-detector distance was 487.9 mm, while the source-to-origin of the sample was 374.5 mm in a fan-beam geometry. We acquired 673 z-slices with 0.25 mm distance between slices. Further information about the technical details of X-ray CT can be found in the above paper and in 

Maximilian B. Kiss, Sophia B. Coban, K. Joost Batenburg, Tristan van Leeuwen, and Felix Lucka “2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning", Sci Data 10, 576 (2023) or  arXiv:2306.05907 (2023)

The upload consists of two files, namely:



GrayBone90kV4Filter.zip: contains the raw measurement data.

GrayBone90kV4FilterPreprocessed.mat: contains preprocessed data to be used in the MATLAB script provided to do pseudo-dynamic tomography. It also contains reference reconstruction obtained via Filtered Back Projection (FBP) algorithm. 


In the Github repository https://github.com/ajinkyakadu/DynamicXRayCT, we provide the scripts to read and process the raw data. The Github repository also contains all the scripts to reconstruct the dynamic solution using advanced algorithms. Furthermore, the raw data formats are described in great details in Kiss et al 2023 paper referenced above.
DOI: 10.5281/zenodo.10808791
title: Data from: Dynamics of IGF signalling during the ovulatory peak in women undergoing ovarian stimulation.

description: Supplementary table 1. Mean expression levels of genes in the IGF family and common proliferation markers across five time points before and up to 36 h after ovulation trigger.

These supplementary data belong to the manuscript entitled "Dynamics of IGF signalling during the ovulatory peak in women undergoing ovarian stimulation" published in The Journal of Clinical Endocrinology & Metabolism (JCEM) (04 March 2024). This manuscript describes the expression of the insulin-like growth factor (IGF) system during the ovulatory peak in women and suggests that downregulation of IGF signalling is crucial for the sudden cessation in granulosa cell proliferation and onset of differentiation during this critical time course.

This table shows data extracted from a microarray analysis of key IGF family members and common proliferation markers in granulosa cells collected from five different time-points (0 h (n =17), 12 h (n =7), 17 h (n =6), 32 h (n =9) and 36 h (n=44) after ovulation trigger), during the ovulatory peak from fifty women receiving fertility treatment at the Fertility Clinic, Department of Gynaecology and Obstetrics, Holbæk Hospital, Denmark. Differential expression with a false discovery rate (FDR)<0.01 combined with a gene expression fold change >2 was considered significant. 

For further details please read the full manuscript published at JCEM following the DOI: https://doi.org/10.1210/clinem/dgae132.
DOI: 10.5281/zenodo.10808792
title: Data from: Dynamics of IGF signalling during the ovulatory peak in women undergoing ovarian stimulation.

description: Supplementary table 1. Mean expression levels of genes in the IGF family and common proliferation markers across five time points before and up to 36 h after ovulation trigger.

These supplementary data belong to the manuscript entitled "Dynamics of IGF signalling during the ovulatory peak in women undergoing ovarian stimulation" published in The Journal of Clinical Endocrinology & Metabolism (JCEM) (04 March 2024). This manuscript describes the expression of the insulin-like growth factor (IGF) system during the ovulatory peak in women and suggests that downregulation of IGF signalling is crucial for the sudden cessation in granulosa cell proliferation and onset of differentiation during this critical time course.

This table shows data extracted from a microarray analysis of key IGF family members and common proliferation markers in granulosa cells collected from five different time-points (0 h (n =17), 12 h (n =7), 17 h (n =6), 32 h (n =9) and 36 h (n=44) after ovulation trigger), during the ovulatory peak from fifty women receiving fertility treatment at the Fertility Clinic, Department of Gynaecology and Obstetrics, Holbæk Hospital, Denmark. Differential expression with a false discovery rate (FDR)<0.01 combined with a gene expression fold change >2 was considered significant. 

For further details please read the full manuscript published at JCEM following the DOI: https://doi.org/10.1210/clinem/dgae132.
DOI: 10.15151/esrf-dc-1554640393
title: Raw data (diffraction images) for PDB entry "L-amino acid oxidase 4 (HcLAAO4) from the fungus Hebeloma cylindrosporum in complex with L-phenylalanine methyl ester"

description: All relevant information can be found in the PDB entry and the associated publication.
DOI: 10.15151/esrf-dc-1554640401
title: Raw data (diffraction images) for PDB entry "L-amino acid oxidase 4 (HcLAAO4) from the fungus Hebeloma cylindrosporum in complex with L-leucine ethyl ester"

description: All relevant information can be found in the PDB entry and the associated publication.
DOI: 10.5281/zenodo.10707799
title: Danish coastal submerged aquatic vegetation 2018

description: Submerged aquatic vegetation (SAV) mapped with Copernicus Sentinel-2 MSI 10 meter imagery for the Danish coast. Mapping is based on images mainly from April/May 2018. Habitat classification categories are:  1: Unvegetated soft substrate (Sand); 2: Sparse vegetation; 3: Dense vegetation; 4: No data.

The map has been developed to capture SAV distributions at the national Danish scale and is less appropriate for local exploration. For a more detailed map of smaller regions, it is recommended to source a local map made with data and models specifically selected and trained for those areas, to ensure the highest level of detail and accuracy. The map shows "Submerged aquatic vegetation SAV" that is, seagrass + macroalgae (and possibly some mussels and stones here and there as well).

Note that for the satellite-based approach to be effective, the sea floor must be visible in the satellite imagery. Consequently, the achievable depth for mapping relies on environmental conditions such as cloud coverage, turbidity and water roughness. Typically, it is not possible to detect the eelgrass depth limits in Denmark with satellite imagery. To “see” as deep as possible, for the mapping spring images were used, as Danish waters tend to have better water quality at the beginning of the year, even though the vegetation can spread further during the growing season.

The categories “sparse vegetation” and “dense vegetation” do not cover a well-defined percentage coverage but are based on visual interpretation of satellite images and orthophotos.

Data portal for free download for private and non-commercial use: https://marine-vegetation.satlas.dk/

For more information visit



https://eo.dhigroup.com/projects/mapping_submerged_coastal_vegetation/

https://youtu.be/_xAa858qg70
DOI: 10.5281/zenodo.10707800
title: Danish coastal submerged aquatic vegetation 2018

description: Submerged aquatic vegetation (SAV) mapped with Copernicus Sentinel-2 MSI 10 meter imagery for the Danish coast. Mapping is based on images mainly from April/May 2018. Habitat classification categories are:  1: Unvegetated soft substrate (Sand); 2: Sparse vegetation; 3: Dense vegetation; 4: No data.

The map has been developed to capture SAV distributions at the national Danish scale and is less appropriate for local exploration. For a more detailed map of smaller regions, it is recommended to source a local map made with data and models specifically selected and trained for those areas, to ensure the highest level of detail and accuracy. The map shows "Submerged aquatic vegetation SAV" that is, seagrass + macroalgae (and possibly some mussels and stones here and there as well).

Note that for the satellite-based approach to be effective, the sea floor must be visible in the satellite imagery. Consequently, the achievable depth for mapping relies on environmental conditions such as cloud coverage, turbidity and water roughness. Typically, it is not possible to detect the eelgrass depth limits in Denmark with satellite imagery. To “see” as deep as possible, for the mapping spring images were used, as Danish waters tend to have better water quality at the beginning of the year, even though the vegetation can spread further during the growing season.

The categories “sparse vegetation” and “dense vegetation” do not cover a well-defined percentage coverage but are based on visual interpretation of satellite images and orthophotos.

Data portal for free download for private and non-commercial use: https://marine-vegetation.satlas.dk/

For more information visit



https://eo.dhigroup.com/projects/mapping_submerged_coastal_vegetation/

https://youtu.be/_xAa858qg70
DOI: 10.34740/kaggle/dsv/7824619
title: 2021 World Population (updated daily)
DOI: 10.15151/esrf-dc-1562905459
title: Raw data (diffraction images) for PDB entry "L-amino acid oxidase 4 (HcLAAO4) from the fungus Hebeloma cylindrosporum in complex with N-epsilon-acetyl-L-lysine"

description: All relevant information can be found in the PDB entry and the associated publication.
DOI: 10.25405/data.ncl.25359364
title: Dataset and ethics forms project: Exploring the experiences of highly-skilled refugee women in the UK: An intersectional approach (ESRI)

description: The project Exploring the experiences of highly-skilled refugee women in the UK: An intersectional approach' (ESRI) brought together researchers in Applied Linguistics and Intercultural Communication and Education, who worked with a grassroots women’s group in the North of England. The overarching aim of the ESRI project was to conduct empirical research on and to raise awareness about the barriers that highly-skilled refugee women i.e. individuals with professional qualifications and/or professional experience, face throughout their displacement trajectories. Although a small body of research has explored the barriers to employment faced by highly-skilled refugees in Europe, little research and policy attention has been given to the specific experiences of women. In their journeys to appropriate qualified (re) employment, refugee women are comparatively more disadvantaged than men as, for example, they are often the main caregivers in their families. Our work addressed this gap, and we provided new insights including the challenges they encounter and the support they need from employers and policy makers. We drew data from nine qualitative interviews and three interactive workshops with over 20 highly-skilled refugee women to examine the barriers that these women face throughout their displacement trajectories. Our work also provided important methodological contributions that will be valuable to other researchers who engaged with vulnerable and displaced groups. 'Good practice' in research with vulnerable multilinguals was a core concern for our team and, beyond the core project findings from the interviews, we have collected a set of resources that we are using to train other researchers who want to work with vulnerable groups.
DOI: 10.25405/data.ncl.25359364.v1
title: Dataset and ethics forms project: Exploring the experiences of highly-skilled refugee women in the UK: An intersectional approach (ESRI)

description: The project Exploring the experiences of highly-skilled refugee women in the UK: An intersectional approach' (ESRI) brought together researchers in Applied Linguistics and Intercultural Communication and Education, who worked with a grassroots women’s group in the North of England. The overarching aim of the ESRI project was to conduct empirical research on and to raise awareness about the barriers that highly-skilled refugee women i.e. individuals with professional qualifications and/or professional experience, face throughout their displacement trajectories. Although a small body of research has explored the barriers to employment faced by highly-skilled refugees in Europe, little research and policy attention has been given to the specific experiences of women. In their journeys to appropriate qualified (re) employment, refugee women are comparatively more disadvantaged than men as, for example, they are often the main caregivers in their families. Our work addressed this gap, and we provided new insights including the challenges they encounter and the support they need from employers and policy makers. We drew data from nine qualitative interviews and three interactive workshops with over 20 highly-skilled refugee women to examine the barriers that these women face throughout their displacement trajectories. Our work also provided important methodological contributions that will be valuable to other researchers who engaged with vulnerable and displaced groups. 'Good practice' in research with vulnerable multilinguals was a core concern for our team and, beyond the core project findings from the interviews, we have collected a set of resources that we are using to train other researchers who want to work with vulnerable groups.
DOI: 10.34740/kaggle/dsv/7824651
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.10807814
title: Data and code repository for the "Uncertainties in cloud-radiative heating within an idealized extratropical cyclone"

description: Author: Behrooz Keshtgar, behrooz.keshtgar@kit.edu

This archive contains the post-processed data used to generate the figures and the code repository for the publication "Uncertainties in cloud-radiative heating within an idealized extratropical cyclone" by Behrooz Keshtgar, Aiko Voigt, Bernhard Mayer and Corinna Hoose.

Description of the data:

figure1.nc: precipitation rate, cloud cover, surface pressure, and cloud classes on day 4.5 of the ICON-NWP baroclinic life cycle simulation.

figure2.nc: spatially and temporally averaged profiles of cloud water, ice mass content, and cloud fractions from ICON-LEM simulations.

figure4.nc: spatially and temporally averaged cloud-radiative heating profiles from ICON-LEM simulations and offline radiation calculations for each LEM domain.

figure5.nc: cross-section of radiative heating rates for 3D and 1D radiative transfer calculations in the shallow cumulus domain.

figure6.nc: spatially averaged cloud-radiative heating profiles from 3D and 1D radiation calculations for each LEM domain.

figure7.nc: cross-section of cloud-radiative heating calculated with the ice optics of Fu and Baum_ghm in the WCB ascent region.

figure8.nc: spatially and temporally averaged profiles of cloud-radiative heating from 1D radiation calculations with different ice optics for each LEM domain.

figure9.nc: spatially and temporally averaged profiles of cloud-radiative heating from 1D radiation calculations with LEM and NWP clouds for each LEM domain.

figure10.nc: spatially and temporally averaged density and cloud-radiative heating profiles from different offline radiation calculations for each LEM domain.

figure11.nc: profiles of the mean absolute difference of cloud-radiative heating from different offline radiation calculations at different resolutions for each LEM domain.

 

The keshtgar-etal-2024-cyclone-crh-uncertainties-main.zip is the copy of the published git repository for the model run and analysis scripts. The repository contains

- Scripts for the ICON model simulations

- Scripts for the offline radiative transfer calculations with LibRadTran and the post-processing routine

- Python scripts and Jupyter Notebooks for the analysis in the paper
DOI: 10.5281/zenodo.10807815
title: Data and code repository for the "Uncertainties in cloud-radiative heating within an idealized extratropical cyclone"

description: Author: Behrooz Keshtgar, behrooz.keshtgar@kit.edu

This archive contains the post-processed data used to generate the figures and the code repository for the publication "Uncertainties in cloud-radiative heating within an idealized extratropical cyclone" by Behrooz Keshtgar, Aiko Voigt, Bernhard Mayer and Corinna Hoose.

Description of the data:

figure1.nc: precipitation rate, cloud cover, surface pressure, and cloud classes on day 4.5 of the ICON-NWP baroclinic life cycle simulation.

figure2.nc: spatially and temporally averaged profiles of cloud water, ice mass content, and cloud fractions from ICON-LEM simulations.

figure4.nc: spatially and temporally averaged cloud-radiative heating profiles from ICON-LEM simulations and offline radiation calculations for each LEM domain.

figure5.nc: cross-section of radiative heating rates for 3D and 1D radiative transfer calculations in the shallow cumulus domain.

figure6.nc: spatially averaged cloud-radiative heating profiles from 3D and 1D radiation calculations for each LEM domain.

figure7.nc: cross-section of cloud-radiative heating calculated with the ice optics of Fu and Baum_ghm in the WCB ascent region.

figure8.nc: spatially and temporally averaged profiles of cloud-radiative heating from 1D radiation calculations with different ice optics for each LEM domain.

figure9.nc: spatially and temporally averaged profiles of cloud-radiative heating from 1D radiation calculations with LEM and NWP clouds for each LEM domain.

figure10.nc: spatially and temporally averaged density and cloud-radiative heating profiles from different offline radiation calculations for each LEM domain.

figure11.nc: profiles of the mean absolute difference of cloud-radiative heating from different offline radiation calculations at different resolutions for each LEM domain.

 

The keshtgar-etal-2024-cyclone-crh-uncertainties-main.zip is the copy of the published git repository for the model run and analysis scripts. The repository contains

- Scripts for the ICON model simulations

- Scripts for the offline radiative transfer calculations with LibRadTran and the post-processing routine

- Python scripts and Jupyter Notebooks for the analysis in the paper
DOI: 10.5281/zenodo.10809066
title: hedychium_gardnerianum_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10809067
title: hedychium_gardnerianum_spades_01.fasta.gz

description: .
DOI: 10.17043/wagner-2024-soc-1
title: High resolution datasets of soil organic carbon and nitrogen stocks in Canadian lowland tundra
DOI: 10.5281/zenodo.10809034
title: TomoScand_dataset_2018_313

description: Input and validation data used in Norberg et al. Model-free approach for regional ionospheric multi-instrument imaging. (Missing files added)
DOI: 10.5281/zenodo.6760140
title: TomoScand_dataset_2018_313

description: Input and validation data used in Norberg et al. Model-free approach for regional ionospheric multi-instrument imaging. (Missing files added)
DOI: 10.5281/zenodo.6760141
title: TomoScand_dataset_2018_313

description: Input and validation data used in Norberg et al. Model-free approach for regional ionospheric multi-instrument imaging.
DOI: 10.5281/zenodo.10801751
title: Supplementary data - "Evaluating Diatomaceous Earth for Long-Term Use in Hydrogen Storage" paper
DOI: 10.5281/zenodo.10801752
title: Supplementary data - "Evaluating Diatomaceous Earth for Long-Term Use in Hydrogen Storage" paper
DOI: 10.5281/zenodo.10809100
title: Supplementary data - "Evaluating Diatomaceous Earth for Long-Term Use in Hydrogen Storage" paper
DOI: 10.15151/esrf-dc-1562905467
title: Raw data (diffraction images) for PDB entry "L-amino acid oxidase 4 (HcLAAO4) from the fungus Hebeloma cylindrosporum"

description: All relevant information can be found in the PDB entry and the associated publication.
DOI: 10.34740/kaggle/dsv/4823919
title: Mumbai House Prices
DOI: 10.5519/qd.v6pb06i7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.10808479
title: Hranilna vrednost krmnih virov (za prašiče) /Nutritional data for feed resources (for pigs)

description: Baza podatkov o hranilni vrednosti krmnih virov za prašiče, ki smo jo sestavili v sklopu projekta V4-2201, ki ga financirata ARIS in MKGP.
DOI: 10.5281/zenodo.10808480
title: Hranilna vrednost krmnih virov (za prašiče) /Nutritional data for feed resources (for pigs)

description: Baza podatkov o hranilni vrednosti krmnih virov za prašiče, ki smo jo sestavili v sklopu projekta V4-2201, ki ga financirata ARIS in MKGP.
DOI: 10.5281/zenodo.10809094
title: censo-buenosaires-provincia-1881-bibliotecas

description: Datos sobre bibliotecas extraídos del Censo General de la Provincia de Buenos Aires: demográfico, agrícola, industrial, comercial, &. Verificado. El 9 de octubre de 1881 bajo la administración del Doctor Dardo Rocha.
DOI: 10.5281/zenodo.10809095
title: censo-buenosaires-provincia-1881-bibliotecas

description: Datos sobre bibliotecas extraídos del Censo General de la Provincia de Buenos Aires: demográfico, agrícola, industrial, comercial, &. Verificado. El 9 de octubre de 1881 bajo la administración del Doctor Dardo Rocha.
DOI: 10.5281/zenodo.10779462
title: Data and code for: The centrality of the Huanan market among early COVID-19 cases is robust to fundamental misconceptions about epidemiology and misrepresentations of Worobey et al. (2022)

description: Data and R code for The centrality of the Huanan market among early COVID-19 cases is robust to fundamental misconceptions about epidemiology and misrepresentations of Worobey et al. (2022)
DOI: 10.5281/zenodo.10779463
title: Data and code for: The centrality of the Huanan market among early COVID-19 cases is robust to fundamental misconceptions about epidemiology and misrepresentations of Worobey et al. (2022)

description: Data and R code for The centrality of the Huanan market among early COVID-19 cases is robust to fundamental misconceptions about epidemiology and misrepresentations of Worobey et al. (2022)
DOI: 10.5883/ds-scythris
title: Description of Scythris quinquepraedia sp. nov. from the Iberian Peninsula (Lepidoptera: Scythrididae)

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5281/zenodo.10457889
title: Data and code for: Assessing the Reliability of Point Mutation as Data Augmentation for Deep Learning with Genomic Data

description: Data and code for the paper "Assessing the Reliability of Point Mutation as Data Augmentation for Deep Learning with Genomic Data".
DOI: 10.5281/zenodo.10457890
title: Data and code for: Assessing the Reliability of Point Mutation as Data Augmentation for Deep Learning with Genomic Data

description: Data and code for the paper "Assessing the Reliability of Point Mutation as Data Augmentation for Deep Learning with Genomic Data".
DOI: 10.5281/zenodo.10457988
title: Data and code for: Assessing the Reliability of Point Mutation as Data Augmentation for Deep Learning with Genomic Data

description: Data and code for the paper "Assessing the Reliability of Point Mutation as Data Augmentation for Deep Learning with Genomic Data".