cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10835822
title: Ground motion amplification of the Santiago basin

description: Code that generates an approximate distribution of strong ground motion amplification in the Santiago Basin. A combination of two-dimensional Gaussians is used to resemble the distribution found by Pilz et al. (2011) [https://doi.org/10.1111/j.1365-246X.2011.05183.x].

The parameters used were selected through trial and error until a distribution was obtained that roughly resembled those found by Pilz. This code requires the data available at https://doi.org/10.5281/zenodo.10050539.
DOI: 10.48597/a4j4-w3kq
title: Measurement of Meteorology at La Réunion - Maïdo atmospheric observatory

description: Measurement of Meteorology at La Réunion - Maïdo atmospheric observatory
DOI: 10.5281/zenodo.10835827
title: RNA sequencing code associated with Billipp et al. Immunity 2024 - Prox vs. distal tuft cells

description: R code and result for RNA-sequencing analysis comparing tuft cells sorted from the proximal and distal small intestine of mice. Associated with Billipp et al. Immunity 2024 titled "Tuft cell-derived acetylcholine promotes epithelial chloride secretion and intestinal helminth clearance"
DOI: 10.5281/zenodo.10835828
title: RNA sequencing code associated with Billipp et al. Immunity 2024 - Prox vs. distal tuft cells

description: R code and result for RNA-sequencing analysis comparing tuft cells sorted from the proximal and distal small intestine of mice. Associated with Billipp et al. Immunity 2024 titled "Tuft cell-derived acetylcholine promotes epithelial chloride secretion and intestinal helminth clearance"
DOI: 10.5281/zenodo.10835752
title: Sprite observations made from Langmuir Lab with a neuromorphic sensor on May 25, 2023

description: This data set contains sprite observations made on the night of May 25, 2023 from the Langmuir Laboratory of Atmospheric Research in central New Mexico. It contains recordings made with an intensified Phantom high-speed camera, a Generation 4 Prophesee neuromorphic sensor, and a Watec low-light level camera. Information about individual sprite captures is summarized in the table Sprite_Data_Summary_Table.xlsx.

Phantom .cine files can be opened with Vision Research's proprietary PCC software. The Prophesee .es files can be loaded and visualized with the Python event stream reader library available at https://github.com/neuromorphicsystems/event_stream.

The table contains information about 15 sprites recorded on that night. However, only 9 were used in the article titled "Sprite durations measured with a neuromorphic sensor". This is because the other 6 occurred outside of the Phantom camera's field of view and, thus, don't have an associated Phantom recording, which served as ground truth for analysis.
DOI: 10.6084/m9.figshare.25406971
title: extreme climate indices calculation

description: This MATLAB code calculates extreme climate indices.
DOI: 10.5519/qd.4y1stus6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (517 records)
DOI: 10.6084/m9.figshare.3761562.v2886
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.10835891
title: alestes_dentex_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10835892
title: alestes_dentex_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10835915
title: arnoldichthys_spilopterus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10835916
title: arnoldichthys_spilopterus_zanfona_1.fasta.gz

description: .
DOI: 10.5517/ccdc.csd.cc2h0m27
title: CCDC 2294498: Experimental Crystal Structure Determination

description: Related Article: Sneha Ray, Kajal Krishna Rajak|2024|J.Organomet.Chem.|1009|123077|doi:10.1016/j.jorganchem.2024.123077
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: 10.5519/qd.u81ouv9f
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (32 records)
DOI: 10.5281/zenodo.10835877
title: Riesgos ergonómicos en la práctica laboral de los odontólogos

description: El presente trabajo tiene como objetivo actualizar sobre los riesgos ergonómicos que manifiestan los profesionales de la odontología en su práctica laboral. 

Se realizó un artículo de revisión sistemática siguiendo las recomendaciones PRISMA (Prerrefered Reporting Items for Systemic Reviews and Meta-Analysis)

La búsqueda de información se realizó en las bases de datos PubMed/Medline y SciELO Regional, así como en los sitios de búsqueda de la Editorial Elsevier y el buscador académico Google Scholar.
DOI: 10.5281/zenodo.10835878
title: Riesgos ergonómicos en la práctica laboral de los odontólogos

description: El presente trabajo tiene como objetivo actualizar sobre los riesgos ergonómicos que manifiestan los profesionales de la odontología en su práctica laboral. 

Se realizó un artículo de revisión sistemática siguiendo las recomendaciones PRISMA (Prerrefered Reporting Items for Systemic Reviews and Meta-Analysis)

La búsqueda de información se realizó en las bases de datos PubMed/Medline y SciELO Regional, así como en los sitios de búsqueda de la Editorial Elsevier y el buscador académico Google Scholar.
DOI: 10.5281/zenodo.10835938
title: brachypetersius_altus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10835939
title: brachypetersius_altus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10835958
title: brachypetersius_gabonensis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10835959
title: brachypetersius_gabonensis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10835995
title: brycinus_macrolepidotus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10835996
title: brycinus_macrolepidotus_zanfona_1.fasta.gz

description: .
DOI: 10.6073/pasta/df1717910a7e2dfa07e8e606c2619d6d
title: GOES-R Land Surface Products at AmeriFlux and NEON Eddy Covariance Tower Locations

description: The terrestrial carbon cycle varies dynamically over short periods that can be difficult to observe. Geostationary (“weather”) satellites like the Geostationary Operational Environmental Satellite - R Series (GOES-R) deliver near-hemispheric imagery at a ten-minute cadence, and its Advanced Baseline Imager (ABI) measures visible and near-infrared spectral bands that can be used to estimate land surface properties and carbon dioxide flux. GOES-R data are designed for real-time dissemination and are difficult to link with eddy covariance time series of land-atmosphere carbon dioxide exchange. We compiled three-year time series of GOES-R land surface attributes including visible and near-infrared reflectances, land surface temperature, and downwelling shortwave radiation (DSR) at 318 ABI fixed grid pixels containing eddy covariance towers for years 2020-2022. We demonstrate how to best combine satellite and in-situ datasets, and show how ABI attributes useful for carbon cycle science vary across space and time. By connecting observation networks that infer rapid changes to the carbon cycle, we can gain a richer understanding of the processes that control it.
DOI: 10.5281/zenodo.10835941
title: Woodland expansion and upland management strategy dilemmas for biodiversity and carbon storage in the Cairngorms National Park

description: datatsets and R scripts related to the analysis done in the research project "impact of woodlands restoration and restriction of fire use in the Cairngorms National Park".
DOI: 10.5281/zenodo.10835942
title: Woodland expansion and upland management strategy dilemmas for biodiversity and carbon storage in the Cairngorms National Park

description: datatsets and R scripts related to the analysis done in the research project "impact of woodlands restoration and restriction of fire use in the Cairngorms National Park".
DOI: 10.6084/m9.figshare.25270243
title: Open Data Package for Article "Uncovering Bad Practices in Junior Developer Projects using Static Analysis and Formal Concept Analysis"

description: The dataset includes the list of issues found via SonarQube 9.9.0 analysis using an extended set of rules (also included) for a number of University-level programming assignments in the Java and Python languages.
DOI: 10.17632/7b7sp9grty.1
title: Data used in the study - Evidence for partially shared decision-making during group movement departure in the plains zebra (Equus quagga)

description: Data used in the study - Evidence for partially shared decision-making during group movement departure in the plains zebra (Equus quagga)
DOI: 10.5281/zenodo.10823277
title: Impact of viruses on microbial communities and biogeochemical processes in agricultural soils

description: The source data of microcosm experiment.
DOI: 10.5281/zenodo.10823278
title: Impact of viruses on microbial communities and biogeochemical processes in agricultural soils

description: The source data of microcosm experiment.
DOI: 10.5281/zenodo.10835999
title: Impact of viruses on microbial communities and biogeochemical processes in agricultural soils

description: The source data of microcosm experiment.
DOI: 10.17632/f7fxysfy4y.1
title: Anomaly Detection

description: Appendix I: Figures of synthetic anomalies introduced in the daily water stage time series of station 44200000;
Appendix II: Excel spreadsheet with input time series for the validation of MADE (Multiresolution Anomaly Detection System).
DOI: 10.17632/t9934xgj5y.1
title: Essential oils of Dizygostemon riparius (Plantaginaceae) against Tetranychus neocaledonicus (Acari: Tetranychidae)

description: The terpene profile of the essential oil (EO) of the recently described species Dizygostemon riparius (Plantaginaceae) has gained attention. The EOs were then tested against Tetranychus neocaledonicus mites (Acari: Tetranychidae), demonstrating their toxic potential.
DOI: 10.17632/ykggdp85jw.1
title: Challenges experienced by health care providers working in both hospital-based palliative care units in Dhaka City: A multi-center based cross-sectional study

description: Abstract:

Background: Palliative care is paramount in the modern clinical field worldwide. However, in Bangladesh, its acceptance is limited compared to other related sectors, despite the country suffering from a huge burden of life-limiting diseases. Besides, PC teams and their approach to care are entirely different from the conventional clinical approach. This study aimed to explore the challenges faced by healthcare providers working in the palliative care unit in Bangladesh, including all groups. Design: This was a cross-sectional descriptive survey involving palliative care providers. 
Methods: A self-administered pre-tested questionnaire was used for data collection. Data was analyzed using descriptive statistics and Chi-square at p &lt;0.05. 
Result: The mean age of the respondents was 33.59 ± 8.05 years, and barely most (82.5%) had served for 7-9 years. More than half (51%) of doctors and 31 % of nurses claimed patient agitation as a challenge. Almost all groups of respondents exhibit ethical dilemma as a barrier, although a significant relationship was found between professional level and ethical dilemma. More than half of doctors (51%), 41.5% of nurses, and 29.5% of PCA-ward staff mentioned the lack of telemedicine facilities as a challenge. Nearly half (47.1%) of doctors and nurses claimed that patients’ families had made patient care difficult, on the other hand, PCA-ward staff (70%) group ignorance of family did the same thing. Opioid phobia of other health professionals restricted the growth mentioned by the majority of all four groups of respondents. A significant relationship was found between limited dose formulation and experience of HPs (p&lt;0.07). At the institutional level, 93.3% of nursing staff agreed that the lack of supporting staff was a drawback. A significant relationship was also found between the type of institution and the lack of a support system to conduct home-based care (p&lt;0.002). Moreover, the majority (83.3%) of PCA-WS exhibit a lack of career development opportunities (p&lt;0.001) as a barrier, besides, more than 7 out of 10 doctors (7.2%) felt social discrimination as a challenge(p&lt;0.001).
 Conclusion: Introducing new concepts comes with obstacles, but proper planning and awareness can make it necessary. Incorporating it into primary healthcare can create new job opportunities and increase familiarity among the general population. Training healthcare professionals on opioid handling can also increase its acceptance.
DOI: 10.17632/bm543vchc6.1
title: Python Scripts for Simulating, Analyzing, and Evaluating Dispersion Estimators

description: This presentation involves simulation processes, data analysis, and comparisons of conventional and proposed dispersion estimators. All the parameters and metrics used are based on the methodology presented in the article titled "Statistical Mirroring: A Robust Method for Statistical Dispersion Estimation" authored by Kabir Bindawa Abdullahi in 2024. For further details, you can follow the publication of the paper submitted to MethodsX Elsevier Publishing. 

The presentation is categorized into six (6) comprehensive sections:

* Section 1: Importation of useful libraries and other implemented codes.
* Section 2: Definition of basic functions used in the simulation process, data analysis, and evaluation of estimator performance.
* Section 3: Presentation of the simulation process, data analysis, evaluation, and comparison of estimators under normal distribution.
* Section 4i: Presentation of the simulation process, data analysis, evaluation, and comparison of some dispersion estimators under Gaussian mixture model distribution (I).
* Section 4ii: Presentation of the simulation process, data analysis, evaluation, and comparison of some dispersion estimators under Gaussian mixture model distribution (II).
* Section 5: Presentation of the data analysis and comparison of dispersion estimators under different temperature measurement scales using a real-life dataset.
* Section 6: Set duplication-invariance of dispersion estimators."

NOTE: Data users can choose between downloading the complete folder, which includes processed files and results, or opting for the alternative of downloading the Python script. In the latter scenario, users MUST uncomment and rerun the script to generate fresh files and results. For the former option, users CAN uncomment and rerun the script to update and obtain new results.
DOI: 10.17632/bm543vchc6.2
title: Python Scripts for Simulating, Analyzing, and Evaluating Dispersion Estimators

description: This presentation involves simulation processes, data analysis, and comparisons of conventional and proposed dispersion estimators. All the parameters and metrics used are based on the methodology presented in the article titled "Statistical Mirroring: A Robust Method for Statistical Dispersion Estimation" authored by Kabir Bindawa Abdullahi in 2024. For further details, you can follow the publication of the paper submitted to MethodsX Elsevier Publishing. 

The presentation is categorized into six (6) comprehensive sections:

* Section 1: Importation of useful libraries and other implemented codes.
* Section 2: Definition of basic functions used in the simulation process, data analysis, and evaluation of estimator performance.
* Section 3: Presentation of the simulation process, data analysis, evaluation, and comparison of estimators under normal distribution.
* Section 4i: Presentation of the simulation process, data analysis, evaluation, and comparison of some dispersion estimators under Gaussian mixture model distribution (I).
* Section 4ii: Presentation of the simulation process, data analysis, evaluation, and comparison of some dispersion estimators under Gaussian mixture model distribution (II).
* Section 5: Presentation of the data analysis and comparison of dispersion estimators under different temperature measurement scales using a real-life dataset.
* Section 6: Set duplication-invariance of dispersion estimators."

NOTE: Data users can choose between downloading the complete folder, which includes processed files and results, or opting for the alternative of downloading the Python script. In the latter scenario, users MUST uncomment and rerun the script to generate fresh files and results. For the former option, users CAN uncomment and rerun the script to update and obtain new results.
DOI: 10.17632/54b7w94rj2.1
title: ARRIVE checklist for 'Combined Exosome of Adipose-Derived Mesenchymal Stem Cell and Hyaluronic Acid Delays Early Osteoarthritis Progression of Ovine Sheep Model: Clinical, Radiographic and Macroscopic Evaluation'

description: ARRIVE checklist for 'Combined Exosome of Adipose-Derived Mesenchymal Stem Cell and Hyaluronic Acid Delays Early Osteoarthritis Progression of Ovine Sheep Model: Clinical, Radiographic and Macroscopic Evaluation'
DOI: 10.17632/b6ypy78whk.1
title: Dataset of TiO2, Al2O3 and SiO2 nanoparticles suspended with R600a and lubricating oil in vapour compression refrigeration system at a steady state

description: The dataset includes measurements of the steady-state performance of a vapour compression refrigeration system. This system utilises a combination of R600a, TiO2, Al2O3, SiO2 nanoparticles, and lubricant as alternatives to R134a.
DOI: 10.17632/k7bzdpkvss.1
title: Greek Political Leaders on TikTok: The propaganda of (visual) authenticity in the first “TikTok elections” in Greece.

description: This dataset refers to a content analysis conducted in TikTok accounts of four Greek politicians (Kyriakos Mitsotakis, Alexis Tsipras, Nikos Androulakis and Stefanos Kasselakis)
DOI: 10.17632/vt9jf3hz6h.1
title: Studies using stable isotopes to differentiate wild and captive animals

description: Peer-reviewed publications were searched in the  Clarivate Web of Science database and in the references list from the main studies and reviews on the subject. We selected and analyzed 47 studies that used involving δ13C, δ15N, δ2H, δ18O, and δ34S in tissues from fish, amphibian, reptile, bird, and mammal groups. wild vertebrates, which were organized in a database.
DOI: 10.17632/vt9jf3hz6h.2
title: Studies using stable isotopes to differentiate wild and captive animals

description: Peer-reviewed publications were searched in the Clarivate Web of Science database and in the references list from the main studies and reviews on the subject. We selected and analyzed 47 studies that used involving δ13C, δ15N, δ2H, δ18O, and δ34S in tissues from fish, amphibian, reptile, bird, and mammal groups. wild vertebrates, which were organized in a database.
DOI: 10.17632/sncdhf53xc.1
title: OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods

description: Optical coherence tomography (OCT) is a non-invasive imaging technique that has extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods (OCTDL) dataset comprising over 1600 high-resolution OCT images labeled according to disease group and retinal pathology.

The dataset consists of the following categories and images:
- Age-Related Macular Degeneration - 885 images;
- Diabetic Macular Edema - 143 images;
- Epiretinal Membrane- 133 images;
- Normal - 284 images;
- Retinal Artery Occlusion - 22 images;
- Retinal Artery Occlusion - 93 images;
- Vitreomacular Interface Disease - 58 images.

This dataset is published to provide researchers and developers with access to a large set of labeled images, which contributes to the development and improvement of algorithms for the automatic processing and analysis of OCT images for early diagnosis and monitoring of eye diseases. The dataset will be updated periodically.
DOI: 10.17632/sncdhf53xc.2
title: OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods

description: Optical coherence tomography (OCT) is a non-invasive imaging technique that has extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods (OCTDL) comprising over 1600 high-resolution OCT images labeled according to disease group and retinal pathology.

The dataset consists of the following categories and images:
- Age-Related Macular Degeneration - 885 images;
- Diabetic Macular Edema - 143 images;
- Epiretinal Membrane- 133 images;
- Normal - 284 images;
- Retinal Artery Occlusion - 22 images;
- Retinal Artery Occlusion - 93 images;
- Vitreomacular Interface Disease - 58 images.

This dataset is published to provide researchers and developers with access to a large set of labeled images, which contributes to the development and improvement of algorithms for the automatic processing and analysis of OCT images for early diagnosis and monitoring of eye diseases. The dataset will be updated periodically.

For more information and details about the dataset see: https://arxiv.org/abs/2312.08255

@misc{kulyabin2023octdl,
 title={OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods}, 
 author={Mikhail Kulyabin and Aleksei Zhdanov and Anastasia Nikiforova and Andrey Stepichev and Anna Kuznetsova and Mikhail Ronkin and Vasilii Borisov and Alexander Bogachev and Sergey Korotkich and Paul A Constable and Andreas Maier},
 year={2023},
 eprint={2312.08255},
 archivePrefix={arXiv},
 primaryClass={eess.IV}
}
DOI: 10.17632/sncdhf53xc.3
title: OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods

description: Optical coherence tomography (OCT) is a non-invasive imaging technique that has extensive clinical applications in ophthalmology. OCT enables the visualization of the retinal layers, playing a vital role in the early detection and monitoring of retinal diseases. OCT uses the principle of light wave interference to create detailed images of the retinal microstructures, making it a valuable tool for diagnosing ocular conditions. Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods (OCTDL) comprising over 1600 high-resolution OCT images labeled according to disease group and retinal pathology.

The dataset consists of the following categories and images:
- Age-Related Macular Degeneration - 885 images;
- Diabetic Macular Edema - 143 images;
- Epiretinal Membrane- 133 images;
- Normal - 284 images;
- Retinal Artery Occlusion - 22 images;
- Retinal Vein Occlusion - 93 images;
- Vitreomacular Interface Disease - 58 images.

This dataset is published to provide researchers and developers with access to a large set of labeled images, which contributes to the development and improvement of algorithms for the automatic processing and analysis of OCT images for early diagnosis and monitoring of eye diseases. The dataset will be updated periodically.

For more information and details about the dataset see: https://arxiv.org/abs/2312.08255

@misc{kulyabin2023octdl,
 title={OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods}, 
 author={Mikhail Kulyabin and Aleksei Zhdanov and Anastasia Nikiforova and Andrey Stepichev and Anna Kuznetsova and Mikhail Ronkin and Vasilii Borisov and Alexander Bogachev and Sergey Korotkich and Paul A Constable and Andreas Maier},
 year={2023},
 eprint={2312.08255},
 archivePrefix={arXiv},
 primaryClass={eess.IV}
}