cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6397100
title: An enhanced author name dataset for PubMed/MEDLINE

description: The incompleteness of author names is a well-known issue in the MEDLINE database. It was since 2002, the full author name has been systematically indexed in MEDLINE. Although many full author names have been added to MEDLINE, we still found a significant number of abbreviated names in papers published after 2002.

Here we built an enhanced author name dataset for MEDLINE, called EAN,  achieved by linking the whole PubMed to other large literature databases and conducting a large-scale name comparison and restoration with obtained multi-sources author names. Our evaluation shows that more than 90% of author names in EAN are complete as compared to the ratio of ~60% in MEDLINE.
DOI: 10.5281/zenodo.6397101
title: PubMed/MEDLINE author name dataset with initials restored

description: The incompleteness of author names is a well-known issue in the MEDLINE database. It was since 2002, the full author name has been systematically indexed in MEDLINE. Although the full author name has been systematically indexed since 2002, we still found a significant number of initialized names in papers published after 2002. We propose a method to restore the initialized author name by linking the whole PubMed to other large literature databases, after name restoration, the completeness author name is raised from 56\% to 91\%, meaning that the issue has been largely resolved. The showing dataset is only a sample of the created enhanced author name dataset. If you are interested in the dataset, contact me at zlahu@foxmail.com
DOI: 10.5519/qd.pqkbc5xt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6640 records)
DOI: 10.4121/141522d5-84a8-4ec7-a362-d01ef2c75b7a
title: Daily schedule changes in the automated vehicle era: Uncovering the heterogeneity behind the veil of low survey commitment. Supporting Data and Software

description: This dataset contains data from an interactive stated activity-travel survey aimed to investigate daily schedule changes of future automated vehicle users. The survey was conducted in the Netherlands, in July 2019. 509 respondents completed this survey.The full survey can be found in <strong>A Day in the Life with an Automated Vehicle: Supporting Data and Software</strong>.Complementing the first analysis available in the above dataset, the current package includes new analysis focused on the heterogeneity among the travellers regarding their expected changes in daily activity schedules with automated vehicles and on the link between the lack of expected changes and low commitment to survey. The analysis method is latent class cluster models, and it was performed in Latent Gold. See the README file for further details.
DOI: 10.4121/141522d5-84a8-4ec7-a362-d01ef2c75b7a.v3
title: Daily schedule changes in the automated vehicle era: Uncovering the heterogeneity behind the veil of low survey commitment. Supporting Data and Software

description: This dataset contains data from an interactive stated activity-travel survey aimed to investigate daily schedule changes of future automated vehicle users. The survey was conducted in the Netherlands, in July 2019. 509 respondents completed this survey.The full survey can be found in <strong>A Day in the Life with an Automated Vehicle: Supporting Data and Software</strong>.Complementing the first analysis available in the above dataset, the current package includes new analysis focused on the heterogeneity among the travellers regarding their expected changes in daily activity schedules with automated vehicles and on the link between the lack of expected changes and low commitment to survey. The analysis method is latent class cluster models, and it was performed in Latent Gold. See the README file for further details.
DOI: 10.5281/zenodo.10658859
title: How interacting anthropogenic pressures shape the plasticity of breeding time in two common songbirds.
DOI: 10.5281/zenodo.10663408
title: Road speed profiles of Prague 2022

description: Road speed profile defines average speeds across 24 hour in 15min granularity, i.e. 96 speed values per day per road.The file defines the road speed profile for about ~8000 major roads of Prague.The road speed profiles have been derived from FCD data collection on the date of 19.2.2022.Each road is denoted by a unique road identifier. For a geo position please refer to road network definition (see roadnetwork files)
DOI: 10.5281/zenodo.10663409
title: Road speed profiles of Prague 2022

description: Road speed profile defines average speeds across 24 hour in 15min granularity, i.e. 96 speed values per day per road.The file defines the road speed profile for about ~8000 major roads of Prague.The road speed profiles have been derived from FCD data collection on the date of 19.2.2022.Each road is denoted by a unique road identifier. For a geo position please refer to road network definition (see roadnetwork files)
DOI: 10.5281/zenodo.10663799
title: Dataset for: Pushing nano-aerosol measurements towards a new decade – Technical note on Airmodus Particle Size Magnifier 2.0

description: Raw data files for the analysis done in the paper "Pushing nano-aerosol measurements towards a new decade – Technical note on Airmodus Particle Size Magnifier 2.0". The data files contain the size distributions measured by the PSM 2.0, A10, NAIS and DMPS during May 9th 2023.
DOI: 10.5281/zenodo.10663800
title: Dataset for: Pushing nano-aerosol measurements towards a new decade – Technical note on Airmodus Particle Size Magnifier 2.0

description: Raw data files for the analysis done in the paper "Pushing nano-aerosol measurements towards a new decade – Technical note on Airmodus Particle Size Magnifier 2.0". The data files contain the size distributions measured by the PSM 2.0, A10, NAIS and DMPS during May 9th 2023.
DOI: 10.6084/m9.figshare.25224776
title: Content of Newspaper Content Analysis Coding

description: Content analysis dataset
DOI: 10.25402/nmt.25224860
title: A Review on Non-Viral, Non-Bacterial Infectious Agents Toxicity Involved in Neurodegenerative Diseases - supplementary material

description: Supplementary table
DOI: 10.25402/nmt.25224860.v1
title: A Review on Non-Viral, Non-Bacterial Infectious Agents Toxicity Involved in Neurodegenerative Diseases - supplementary material

description: Supplementary table
DOI: 10.17630/acc361b7-764d-42f1-bd8b-4e1056d1bb3d
title: Phenotypic Screening and Functional Characterisation of Anti-protozoan Unnatural Products (Proteomics Supplementary Data)

description: The full dataset of both manually integrated and automaticallu integrated peptides for wild type bloodstream form T. brucei and SG3 resistant bloodstream form T. brucei.
DOI: 10.5281/zenodo.10221839
title: Figure data for: Jet aircraft lubrication oil droplets as contrail ice-forming particles

description: The files held within this repository enable figures to be reproduced for the publication: "Jet aircraft lubrication oil droplets as contrail ice-forming particles". A description of the data, including technical details can be found in the original publication.

Specifically, this repository contains:



A .csv file ("Figure data - S1, S2, 4.csv") for reproducing figure 4 (a, b), figure S1 (a, b) and figure S2 from the main text and supplement.


The authors have also attached a compressed folder ("PINE_OPC_data.zip") that contains:



Unprocessed PINE data output files for each experiment.

Run-specific .txt files with merged PINE and optical particle counter (OPC) data.

Code to extract PINE and OPC data, enabling the reproduction of figure 3 from the main text.
DOI: 10.5281/zenodo.10221840
title: Figure data for: Jet aircraft lubrication oil droplets as contrail ice-forming particles

description: The files held within this repository enable figures to be reproduced for the publication: "Jet aircraft lubrication oil droplets as contrail ice-forming particles". A description of the data, including technical details can be found in the original publication.

Specifically, this repository contains:



A .csv file ("Figure data - S1, S2, 4.csv") for reproducing figure 4 (a, b), figure S1 (a, b) and figure S2 from the main text and supplement.


The authors have also attached a compressed folder ("PINE_OPC_data.zip") that contains:



Unprocessed PINE data output files for each experiment.

Run-specific .txt files with merged PINE and optical particle counter (OPC) data.

Code to extract PINE and OPC data, enabling the reproduction of figure 3 from the main text.
DOI: 10.6084/m9.figshare.25224758
title: Population genetics of American mink in France

description: The American mink (<i>Neovison vison</i>) is known as a successful invader in Europe, impacting native species' population sizes and habitats. This study investigates the genetic structure and diversity of American mink populations in France over two decades (1997-2016). The analysis involves feral and farmed mink sampled from various regions, using ten autosomal microsatellite loci for genotyping. The objective is to identify genetic clusters, especially between feral and captive individuals, and assess changes in genetic structure over time. Results reveal high genetic diversity and low inbreeding within populations, with evidence of genetic structure influenced by both farm releases and feral colonization. The study highlights the reflection of the genetic structure in farm populations in the feral populations within the first period (1997-2007), and a decline of a lineage over time in the second period (2007-2016) with the emergence of a new genetic cluster, potentially influenced by factors such as selection, phenotypic changes, and interactions with pathogens. Overall, this research contributes to understanding the dynamics of American mink populations in France and their genetic variability, emphasizing the importance of ongoing monitoring and management efforts to mitigate the impact of this invasive species.
DOI: 10.5281/zenodo.10571392
title: ComplexObjectMoveRandomCam

description: ComplexObjectMoveRandomCam:

This plenoptic sequence dataset "ComplexObjectMoveRandomCam" is provided by Eline Soetens, Gauthier Lafruit, Mehrdad Teratani members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Université Libre de Bruxelles), Belgium and Jonghoon Yim, Byeungwoo Jeon members of the Department of Electrical and Computer Engineering, SKKU (Sungkyunkwan University), Korea.

License:

CC BY-NC-SA

Terms of Use:

Any kind of publication or report using this sequence should refer to the following reference :

Eline Soetens, Jonghoon Yim, Byeungwoo Jeon, Gauthier Lafruit, Mehrdad Teratani, "ComplexObjectMoveRandomCam", 2024.

@misc{soetens_ComplexObjectMoveRandomCam_2024, title = {ComplexObjectMoveRandomCam}}, author = {Soetens, Eline and Yim, Jonghoon and Jeon, Byeungwoo and Lafruit, Gauthier and Teratani, Mehrdad }, month = jan, year = {2024}, doi = {10.5281/zenodo.10571393} }

Content:

This sequence was captured using a Raytrix R8 plenoptic camera [1] equipped with a 35mm lens. The sequence was recorded for 10 seconds at 30 fps with the Raytrix software RxLive 5.0 [2]. Each frame has a 3840 x 2160 resolution. The scene contains blocks with a simple texture, a sphere with a complex texture, two toy cars, and a reflective unicorn statue placed on a moving board. The toy cars and the unicorn statue present a lot of specularities, thus both objects have a non-Lambertian texture. The scene was filmed by moving the camera by hand in a random motion.

Please find a detailed description of the content of each file below:



ComplexObjectMoveRandomCam: Contains the 300 frames of the sequences in PNG format.

R8-ComplexObjectMoveRandomCam_Calibration.xml: Contains the calibration parameters of the plenoptic camera given by the Raytrix SDK.


References and links:

[1] https://raytrix.de/products/

[2] https://raytrix.de/downloads/
description: This work was supported in part by the FER 2021 project (1060H000066-FAISAN), Belgium; in part by the Emile DEFAY 2021 project (4R00H000236), Belgium; and in part by the FER 2023 project (1060H000075), Belgium. This work was supported in part by Basic Science Research Program (RS-2023-00208453) through the National Research Foundation of Korea (NRF) and by the ICT Creative Consilience Program (IITP-2023-2020-0-01821) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation), both funded by the Ministry of Science and ICT, Korea.
DOI: 10.5281/zenodo.10571393
title: ComplexObjectMoveRandomCam

description: ComplexObjectMoveRandomCam:

This plenoptic sequence dataset "ComplexObjectMoveRandomCam" is provided by Eline Soetens, Gauthier Lafruit, Mehrdad Teratani members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Université Libre de Bruxelles), Belgium and Jonghoon Yim, Byeungwoo Jeon members of the Department of Electrical and Computer Engineering, SKKU (Sungkyunkwan University), Korea.

License:

CC BY-NC-SA

Terms of Use:

Any kind of publication or report using this sequence should refer to the following reference :

Eline Soetens, Jonghoon Yim, Byeungwoo Jeon, Gauthier Lafruit, Mehrdad Teratani, "ComplexObjectMoveRandomCam", 2024.

@misc{soetens_ComplexObjectMoveRandomCam_2024, title = {ComplexObjectMoveRandomCam}}, author = {Soetens, Eline and Yim, Jonghoon and Jeon, Byeungwoo and Lafruit, Gauthier and Teratani, Mehrdad }, month = jan, year = {2024}, doi = {10.5281/zenodo.10571393} }

Content:

This sequence was captured using a Raytrix R8 plenoptic camera [1] equipped with a 35mm lens. The sequence was recorded for 10 seconds at 30 fps with the Raytrix software RxLive 5.0 [2]. Each frame has a 3840 x 2160 resolution. The scene contains blocks with a simple texture, a sphere with a complex texture, two toy cars, and a reflective unicorn statue placed on a moving board. The toy cars and the unicorn statue present a lot of specularities, thus both objects have a non-Lambertian texture. The scene was filmed by moving the camera by hand in a random motion.

Please find a detailed description of the content of each file below:



ComplexObjectMoveRandomCam: Contains the 300 frames of the sequences in PNG format.

R8-ComplexObjectMoveRandomCam_Calibration.xml: Contains the calibration parameters of the plenoptic camera given by the Raytrix SDK.


References and links:

[1] https://raytrix.de/products/

[2] https://raytrix.de/downloads/
description: This work was supported in part by the FER 2021 project (1060H000066-FAISAN), Belgium; in part by the Emile DEFAY 2021 project (4R00H000236), Belgium; and in part by the FER 2023 project (1060H000075), Belgium. This work was supported in part by Basic Science Research Program (RS-2023-00208453) through the National Research Foundation of Korea (NRF) and by the ICT Creative Consilience Program (IITP-2023-2020-0-01821) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation), both funded by the Ministry of Science and ICT, Korea.
DOI: 10.6084/m9.figshare.25224737
title: Chromosome-level genome assembly of <i>Euphorbia tirucalli</i> (Euphorbiaceae), a highly stress-tolerant oil plant

description: This is an genome annotation file for the chromosome-level genome assembly of <i>Euphorbia tirucalli</i>, a highly stress-tolerant oil plant.
DOI: 10.5281/zenodo.10663817
title: Supplement to "Multivariate Processing of Airborne Natural Source EM Data - Application to Field Data from Gobabis (Namibia)"

description: Airborne and ground site transfer function presented in "Multivariate Processing of Airborne Natural Source EM Data - Application to Field Data from Gobabis (Namibia)"
DOI: 10.5281/zenodo.10663818
title: Supplement to "Multivariate Processing of Airborne Natural Source EM Data - Application to Field Data from Gobabis (Namibia)"

description: Airborne and ground site transfer function presented in "Multivariate Processing of Airborne Natural Source EM Data - Application to Field Data from Gobabis (Namibia)"
DOI: 10.5281/zenodo.10569051
title: ComplexObjectMove

description: ComplexObjectMove:

This plenoptic sequence dataset "ComplexObjectMove" is provided by Eline Soetens, Gauthier Lafruit, Mehrdad Teratani members of LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Université Libre de Bruxelles), Belgium and Jonghoon Yim, Byeungwoo Jeon members of the Departement of Electrical and Computer Engineering, SKKU (Sungkyunkwan University), Korea.

License:

CC BY-NC-SA

Terms of Use:

Any kind of publication or report using this sequence should refer to the following reference :

Eline Soetens, Jonghoon Yim, Byeungwoo Jeon, Gauthier Lafruit, Mehrdad Teratani, "ComplexObjectMove", 2024.

@misc{soetens_ComplexObjectMove_2024, title = {ComplexObjectMove}}, author = {Soetens, Eline and Yim, Jonghoon and Jeon, Byeungwoo and Lafruit, Gauthier and Teratani, Mehrdad }, month = jan, year = {2024}, doi = {10.5281/zenodo.10569052} }

Content:

This sequence was captured using a Raytrix R8 plenoptic camera [1] equipped with a 35mm lens. The sequence was recorded for 10 seconds at 30 fps with the Raytrix software RxLive 5.0 [2]. Each frame has a 3840 x 2160 resolution. The scene contains blocks with a simple texture, a sphere with a complex texture, two toy cars, and a reflective unicorn statue placed on a moving board. The toy cars and the unicorn statue present a lot of specularities, thus both objects have a non-Lambertian texture. The camera is fixed and only the objects are moving in the scene.

Please find a detailed description of the content of each file below:



ComplexObjectMove: Contains the 300 frames of the sequences in PNG format.

R8-ComplexObjectMove_Calibration.xml: Contains the calibration parameters of the plenoptic camera given by the Raytrix SDK.


Reference and links:

[1] https://raytrix.de/products/

[2] https://raytrix.de/downloads/
description: This work was supported in part by the FER 2021 project (1060H000066-FAISAN), Belgium; in part by the Emile DEFAY 2021 project (4R00H000236), Belgium; and in part by the FER 2023 project (1060H000075), Belgium. This work was supported in part by Basic Science Research Program (RS-2023-00208453) through the National Research Foundation of Korea (NRF) and by the ICT Creative Consilience Program (IITP-2023-2020-0-01821) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation), both funded by the Ministry of Science and ICT, Korea.
DOI: 10.5281/zenodo.10569052
title: ComplexObjectMove

description: ComplexObjectMove:

This plenoptic sequence dataset "ComplexObjectMove" is provided by Eline Soetens, Gauthier Lafruit, Mehrdad Teratani members of LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Université Libre de Bruxelles), Belgium and Jonghoon Yim, Byeungwoo Jeon members of the Departement of Electrical and Computer Engineering, SKKU (Sungkyunkwan University), Korea.

License:

CC BY-NC-SA

Terms of Use:

Any kind of publication or report using this sequence should refer to the following reference :

Eline Soetens, Jonghoon Yim, Byeungwoo Jeon, Gauthier Lafruit, Mehrdad Teratani, "ComplexObjectMove", 2024.

@misc{soetens_ComplexObjectMove_2024, title = {ComplexObjectMove}}, author = {Soetens, Eline and Yim, Jonghoon and Jeon, Byeungwoo and Lafruit, Gauthier and Teratani, Mehrdad }, month = jan, year = {2024}, doi = {10.5281/zenodo.10569052} }

Content:

This sequence was captured using a Raytrix R8 plenoptic camera [1] equipped with a 35mm lens. The sequence was recorded for 10 seconds at 30 fps with the Raytrix software RxLive 5.0 [2]. Each frame has a 3840 x 2160 resolution. The scene contains blocks with a simple texture, a sphere with a complex texture, two toy cars, and a reflective unicorn statue placed on a moving board. The toy cars and the unicorn statue present a lot of specularities, thus both objects have a non-Lambertian texture. The camera is fixed and only the objects are moving in the scene.

Please find a detailed description of the content of each file below:



ComplexObjectMove: Contains the 300 frames of the sequences in PNG format.

R8-ComplexObjectMove_Calibration.xml: Contains the calibration parameters of the plenoptic camera given by the Raytrix SDK.


Reference and links:

[1] https://raytrix.de/products/

[2] https://raytrix.de/downloads/
description: This work was supported in part by the FER 2021 project (1060H000066-FAISAN), Belgium; in part by the Emile DEFAY 2021 project (4R00H000236), Belgium; and in part by the FER 2023 project (1060H000075), Belgium. This work was supported in part by Basic Science Research Program (RS-2023-00208453) through the National Research Foundation of Korea (NRF) and by the ICT Creative Consilience Program (IITP-2023-2020-0-01821) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation), both funded by the Ministry of Science and ICT, Korea.
DOI: 10.5281/zenodo.7983796
title: Figure data of "Variation in chemical composition and volatility of oxygenated organic aerosol in different rural, urban, and mountain environments"

description: This dataset involves the data that is used for the figures in "Variation in chemical composition and volatility of oxygenated organic aerosol in different rural, urban, and mountain environments".
DOI: 10.5281/zenodo.7983797
title: Figure data of "Variation in chemical composition and volatility of oxygenated organic aerosol in different rural, urban, and mountain environments"

description: This dataset involves the data that is used for the figures in "Variation in chemical composition and volatility of oxygenated organic aerosol in different rural, urban, and mountain environments".
DOI: 10.5517/ccdc.csd.cc28ncv5
title: CCDC 2104957: Experimental Crystal Structure Determination

description: Related Article: Yuan-He Li, Su-Lei Zhang, Yong Lu, Bo Xiao, Tian-Yu Sun, Qian-Qian Xu, Jia-Hua Chen, Zhen Yang|2023|Angew.Chem.,Int.Ed.|62|e202303075|doi:10.1002/anie.202303075
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.cc2c233p
title: CCDC 2176761: Experimental Crystal Structure Determination

description: Related Article: Kazuma Sugawara, Toshikazu Ono, Yoshio Yano, Takanori Suzuki, Yusuke Ishigaki|2023|Mater. Chem. Front.|7|1591|doi:10.1039/D2QM01199A
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.cc2c234q
title: CCDC 2176762: Experimental Crystal Structure Determination

description: Related Article: Kazuma Sugawara, Toshikazu Ono, Yoshio Yano, Takanori Suzuki, Yusuke Ishigaki|2023|Mater. Chem. Front.|7|1591|doi:10.1039/D2QM01199A
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.