cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/688wrx2927.1
title: Spatial visualization ability evaluation data set based on PSVT: R

description: There are differences in spatial ability among people, and there are also differences in spatial ability among individuals in different situations (such as at different ages). The difference of spatial ability in people or individuals is caused by many reasons, influenced by many factors, and is the result of the interaction of many factors. The Revised Purdue Spatial Visualization Tests: Visualization of Rotations (Revised PSVT: R) is a spatial test frequently used to measure students’ spatial ability. The test results of 181 male and female Chinese university students in various disciplines were included in the assessment.
DOI: 10.5281/zenodo.10599876
title: Addition data for figures in "A Lagrangian Perspective on the Lifecycle and Cloud Radiative Effect of Deep Convective Clouds Over Africa"

description: Additional datasets required to reproduce the figures in "A Lagrangian Perspective on the Lifecycle and Cloud Radiative Effect of Deep Convective Clouds Over Africa", Jones et al.
DOI: 10.5281/zenodo.10599877
title: Addition data for figures in "A Lagrangian Perspective on the Lifecycle and Cloud Radiative Effect of Deep Convective Clouds Over Africa"

description: Additional datasets required to reproduce the figures in "A Lagrangian Perspective on the Lifecycle and Cloud Radiative Effect of Deep Convective Clouds Over Africa", Jones et al.
DOI: 10.17632/byj5gdt6yn.1
title: normal and defects of Chenille Yarn （collected by the backlight source）

description: This dataset collects samples of different kinds of defective and normal chenille yarn images for the same batch of chenille yarn made of polyester material, aiming to facilitate the task of recognizing and classifying chenille yarn defects in computer vision and machine learning algorithms. This dataset consists of a total of 2500 images of 5 major chenille yarn defects and 2500 normal chenille yarn images, totaling 5000 images. It is captured by an industrial camera in the state of chenille yarn movement. In this case, the surface light source was set on the backside of the chenille yarn.
The purpose of the classification aims to differentiate between defective and normal chenille yarns on the premise that the classification of chenille yarn defects should be improved as much as possible at the same time, in order to achieve factory production monitoring and to realize smart factories.
In summary, this dataset is a valuable resource for researchers and practitioners for the task of detecting chenille yarn yarn defects in the textile industry.
pages, metadata, and a readable format, but is not yet the final version of record. This version
will undergo additional proofreading, typesetting, and review before it is published as a final version.
However, we are providing this version to give you an early look at the article. Please note that errors may be discovered during the production process which may affect the content of the article.
Please note that errors may be discovered during the production process which may affect the content of the article.
DOI: 10.17632/5tpmyz66sz.1
title: Erwinia phage Asesino microscopy data 2024

description: Raw fluorescence microscopy images used in analysis and publication from "Asesino: a nucleus-forming phage that lacks PhuZ" (Prichard et al., 2024).
DOI: 10.17632/z74knx4nh7.1
title: Higher percentage of CD34+ stem cells and elevated efficacy in androgenetic alopecia treatment observed in CGF prepared from 640 nm laser-pretreated blood: a preliminary study

description: Trichoscopic evaluation data during the follow-up 1 month after the treatment.
DOI: 10.17632/h73s2269y2.1
title: Insight from phosphate oxygen isotope into coupled distribution of phosphorus, iron, and manganese in lake sediments by groundwater and geochemical focusing

description: Raw data for all figures in the manuscript by Ishida et al. as "Insight from phosphate oxygen isotope into coupled distribution of phosphorus, iron, and manganese in lake sediments by groundwater and geochemical focusing".
DOI: 10.17632/6vc7hyd656.1
title: RNA sequencing of longitudinal brain metastases pre- and post-SRS treatment

description: A solitary occipital BrM was resected (comprising the pre-SRS sample) with residual disease that progressed shortly within the BrM cavity. The cavity recurrence was then treated with neoadjuvant SRS (20Gy/1 fraction) followed by planned neurosurgical resection 8 days later (comprising the post-SRS sample).
DOI: 10.17632/x7ypgrzr3m.1
title: 2022 Brazilian election Twitter dataset

description: This dataset presents the anonymized interaction retweet network collected during the 2022 Brazilian elections. For constructing our dataset, we used a query composed of a list of election-related words in Portuguese: "eleição OR eleições OR eleitoral OR eleitorais". The period for data collection was from September 17 to October 30, 2022, resulting in more than 15 million tweets (88.4% of retweets). In this dataset, we included only retweet relations between users. The file is in GML graph format. The links have attributes that reflect the dates of the interactions.
DOI: 10.17632/6gfrvzfh69.1
title: Kurdish Sign Language(KuSL2023)Dataset

description: The KuSL2023 dataset, a compilation of 71,400 sign language images, amalgamates the ASL alphabet dataset and the ArSL2018 dataset, encompassing 34 sign language combinations. The ASL alphabet dataset contributes 78,000 RGB photos, while the ArSL2018 dataset, assembled in Al Khobar, Saudi Arabia, by forty contributors, comprises 54,049 images representing the Arabic alphabet. Clean-up procedures, including centering pictures and resolving imperfections, were employed to standardize the images. Notably, the 23 most commonly used letters from the Kurdish Alphabet–Arabic script were derived from the ArSL2018 dataset, with the remaining Kurdish alphabet letters sourced from the ASL alphabet collection. Researchers and developers can access the KuSL2023 dataset for training and testing machine learning models for sign language recognition and related tasks, with the dataset freely available for non-commercial use.
DOI: 10.17632/6gfrvzfh69.2
title: Kurdish Sign Language(KuSL2023)Dataset

description: The KuSL2023 dataset, a compilation of 71,400 sign language images, amalgamates the ASL alphabet dataset and the ArSL2018 dataset, encompassing 34 sign language combinations. The ASL alphabet dataset contributes 78,000 RGB photos, while the ArSL2018 dataset, assembled in Al Khobar, Saudi Arabia, by forty contributors, comprises 54,049 images representing the Arabic alphabet. Clean-up procedures, including centering pictures and resolving imperfections, were employed to standardize the images. Notably, the 23 most commonly used letters from the Kurdish Alphabet–Arabic script were derived from the ArSL2018 dataset, with the remaining Kurdish alphabet letters sourced from the ASL alphabet collection. Researchers and developers can access the KuSL2023 dataset for training and testing machine learning models for sign language recognition and related tasks, with the dataset freely available for non-commercial use.
DOI: 10.22000/347
title: AmiramjadiMWR2020
title: The spatio–temporal variability of nonorographic gravity wave energy and relation to its source functions.

description: Data to reproduce the figures in publication.
DOI: 10.5281/zenodo.10599917
title: Odeuropa multilingual taxonomies

description: This repository contains the multilingual taxonomy of olfactory terms developed within the ODEUROPA project. The taxonomy is available in English, French, German and Italian (with ongoing work to add Dutch and Slovenian), and has been created semi-automatically, starting from a core set of WordNet synsets and extending them with co-occurring terms using n-grams.

For each language, we release a files in tab-separated format, and an Excel file containing all the languages.

They contain the following columns:



entry: term listed in the taxonomy

source: whether the term comes from the WordNet-based core taxonomy or has been obtained through n-gram co-occurrences.

synset: if it comes from WordNet, which is the synset unique identifier

first appearance: if it comes from co-occurrences, in which year it appeared first (if n-grams contain temporal information)

time periods: for each time period between 1650 and 1925 (spans of 50 years), whether the term is mentioned or not

smell-source: for nouns in English, Italian, German and French, to which category of smell sources it was assigned 

quality: for adjectives in English, Italian, German and French, to which category of qualities it was assigned 


More details are available at:

https://github.com/Odeuropa/multilingualTaxonomies
DOI: 10.5281/zenodo.10599918
title: Odeuropa multilingual taxonomies

description: This repository contains the multilingual taxonomy of olfactory terms developed within the ODEUROPA project. The taxonomy is available in English, French, German and Italian (with ongoing work to add Dutch and Slovenian), and has been created semi-automatically, starting from a core set of WordNet synsets and extending them with co-occurring terms using n-grams.

For each language, we release a files in tab-separated format, and an Excel file containing all the languages.

They contain the following columns:



entry: term listed in the taxonomy

source: whether the term comes from the WordNet-based core taxonomy or has been obtained through n-gram co-occurrences.

synset: if it comes from WordNet, which is the synset unique identifier

first appearance: if it comes from co-occurrences, in which year it appeared first (if n-grams contain temporal information)

time periods: for each time period between 1650 and 1925 (spans of 50 years), whether the term is mentioned or not

smell-source: for nouns in English, Italian, German and French, to which category of smell sources it was assigned 

quality: for adjectives in English, Italian, German and French, to which category of qualities it was assigned 


More details are available at:

https://github.com/Odeuropa/multilingualTaxonomies
DOI: 10.17630/bb979bce-5a77-45cf-b0c4-dfa7bd5c4588
title: Three new lead iodide chain compounds, APbI3, templated by molecular cations (dataset)

description: Powder XRD and UV-Vis data
DOI: 10.5281/zenodo.10599941
title: IVIM simulaton
DOI: 10.5281/zenodo.10599942
title: IVIM simulaton
DOI: 10.5281/zenodo.10593480
title: Dataset - In-sensor human gait analysis with machine learning in a wearable microfabricated accelerometer

description: This is a dataset accompanying the paper "In-sensor human gait analysis with machine learning in a wearable microfabricated accelerometer" published in Nature Communications Engineering (2024). It contains digitized waveforms from the reference accelerometer and from the MEMS device, for 10 participants walking in four gait patterns at five possible treadmill speeds.
DOI: 10.5281/zenodo.10593481
title: Dataset - In-sensor human gait analysis with machine learning in a wearable microfabricated accelerometer

description: This is a dataset accompanying the paper "In-sensor human gait analysis with machine learning in a wearable microfabricated accelerometer" published in Nature Communications Engineering (2024). It contains digitized waveforms from the reference accelerometer and from the MEMS device, for 10 participants walking in four gait patterns at five possible treadmill speeds.
DOI: 10.5281/zenodo.10599948
title: craterocephalus_stercusmuscarum_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10599949
title: craterocephalus_stercusmuscarum_spades_01.fasta.gz

description: .
DOI: 10.5519/qd.2pj4nbuj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (155 records)
DOI: 10.17630/178f3a7c-4717-43f0-a145-049675825e1a
title: Synthesis and Optoelectronic Properties of Benzoquinone-Based Donor- Acceptor Compounds (dataset)
DOI: 10.5281/zenodo.10599926
title: Algal Blooms Sweden - 2023

description: Dataset containing images of algal blooms in the Baltic Sea. The data is provided with a metadata description containing time spotted, comments, municipality, county and coordinates of each image. The images and metadata file are archived in a zip package. Images show various summer surface accumulations of so-called harmful algal blooms (HABs) or nuisance blooms. Typically, these blooms consist of species of cyanobacteria of the order of Nostocales, including toxic Nodularia and Aphanizomenon. These blooms were verified by Informationscentralen (Länstyrelsen Stockholm and Länstyrelsen Västerbotten). However, the blooms seen in the images have not been taxonomically annotated by microscopy nor genetic analysis. The following data fields are contained in the metadata file (provided in csv format):

 

time_spotted: date that bloom was spotted, type: datetime

algae_photo: url to photo submitted, type: string

x-coord (NORTH): x-coordinate of position where bloom was seen, type: float

y-coord (EAST): y-coordinate of position where bloom was seen, type: float

coord_system: Coordinate system, type: string

place: County where bloom was spotted, type: string

municipality: Municipality where bloom was spotted, type: string

Total observations: 60
description: Part of subproject "Algal Blooms Sweden" within Ocean Data Factory Sweden. See Facebook page (https://www.facebook.com/algalbloomssweden/) and project website (https://oceandatafactory.se/) for more information.
DOI: 10.5281/zenodo.10599927
title: Algal Blooms Sweden - 2023

description: Dataset containing images of algal blooms in the Baltic Sea. The data is provided with a metadata description containing time spotted, comments, municipality, county and coordinates of each image. The images and metadata file are archived in a zip package. Images show various summer surface accumulations of so-called harmful algal blooms (HABs) or nuisance blooms. Typically, these blooms consist of species of cyanobacteria of the order of Nostocales, including toxic Nodularia and Aphanizomenon. These blooms were verified by Informationscentralen (Länstyrelsen Stockholm and Länstyrelsen Västerbotten). However, the blooms seen in the images have not been taxonomically annotated by microscopy nor genetic analysis. The following data fields are contained in the metadata file (provided in csv format):

 

time_spotted: date that bloom was spotted, type: datetime

algae_photo: url to photo submitted, type: string

x-coord (NORTH): x-coordinate of position where bloom was seen, type: float

y-coord (EAST): y-coordinate of position where bloom was seen, type: float

coord_system: Coordinate system, type: string

place: County where bloom was spotted, type: string

municipality: Municipality where bloom was spotted, type: string

Total observations: 60
description: Part of subproject "Algal Blooms Sweden" within Ocean Data Factory Sweden. See Facebook page (https://www.facebook.com/algalbloomssweden/) and project website (https://oceandatafactory.se/) for more information.
DOI: 10.17630/c6697f39-7bd1-4766-b666-d394aeeb717b
title: Testing the Predictive Coding Account of Temporal Integration in the Human Visual System - Chapter_5_all_data (thesis data)

description: All experimenal data for chapter 5
DOI: 10.17632/swx34r8gr4.1
title: Destination Image

description: the destination image is a key factor in the process of selecting destinations among tourists (Gunn, 1988; Hunt, 1975).
What are the components of destination image?
Components of destination image. In the article “Image Formation Process,” Gartner (1994) proposed that three components – cognitive, affective, and conative – compose a hierarchical causal model of destination image.
DOI: 10.5285/0ebffc86-ed32-5dde-e063-6c86abc08b3a
title: ATOMIX shear probes benchmark data: Dissipation measurements from the Epsilometer collected in July 2021 in the Rockall Trough (west of Ireland).

description: This dataset contains ocean microstructure data collected using the Epsilometer, a microstructure turbulence profiler built at Scripps Institution of Oceanography by M. H. Alford’s team. The selected data were collected during the NSF-funded Boundary Layer Turbulence (BLT) experiment in the Rockall Trough area of the North Atlantic Ocean on 24th July 2021. The dataset was prepared as a benchmark shear-probe data example for the Scientific Committee on Oceanographic Research (SCOR) working group number 160 "Analysing ocean turbulence observations to quantify mixing" (ATOMIX). Measurements are from a 2 hour mission with 4 identified profiles between 802 m and 1351m. The data from the Epsilometer include dissipation rate measurements from 2 airfoil shear probes, 3-axis piezo-accelerometers (320Hz) and a SBE49 CTD (16Hz). VN100 data (40Hz) and altimeter data (1Hz) are also collected by the Epsi-controller. The probes were oriented in the same direction and perpendicular to acceleration 3 channel. The dataset is processed and prepared following the SCOR Working Group ATOMIX guidelines and recommendations. The netCDF file includes four levels: L1: the continuous time series of full resolution data converted into physical units, L2: the cleaned time series used for spectral analysis, L3: wavenumber spectra and L4: the dissipation rate estimates. Further details are provided in the comments within the data file.
DOI: 10.17630/2f2868c9-03e1-4f11-b116-7df1ab5bc8d4
title: Testing the Predictive Coding Account of Temporal Integration in the Human Visual System - A computational and Behavioural Study - Chapter_4 (thesis data)

description: All data from chapter 4 - No embargo was requested. Activated DOI, validated record and releasing metadata with title and description. (Workflow case 1a)
DOI: 10.17630/de1452f3-e75e-4df9-8780-bdee39678108
title: Testing the Predictive Coding Account of Temporal Integration in the Human Visual System - A computational and Behavioural Study - Chapter_3 (thesis data)

description: All data for chapter 3 - No embargo was requested. Activated DOI, validated record and releasing metadata with title and description. (Workflow case 1a)
DOI: 10.5519/qd.rdkmcu9i
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17632/tmnht24ddw.1
title: Cirebon Estuarine Water Quality Dataset

description: This dataset sheds light on water quality issues in the Cirebon Estuary. The purpose of collecting water samples was to assess contamination levels and identify sources. A total of twelve samples were gathered from various locations in the estuary during 2019 to 2022.
DOI: 10.17630/c5c98330-f798-40ca-a721-9015b91b2b9b
title: The use of Pyrimidine and Pyrazine Bridges as a Design Strategy to Improve the Performance of Thermally Activated Delayed Fluorescence Organic Light Emitting Diodes (dataset)
DOI: 10.17632/wvy2883bcn.1
title: Source Data for “Impact-dispersed Fe-Fe1-xS core-shell particles in Chang'e-5 lunar soil impact glass”

description: Source Data for “Impact-dispersed Fe-Fe1-xS core-shell particles in Chang'e-5 lunar soil impact glass” Including TEM-EDS source data, particle size statistical results, drawing source files, etc.
DOI: 10.17632/zn4653jk9s.1
title: Internationalization of Chinese universities

description: This dataset presents the results of qualitative interviews conducted to examine the strategies used by Chinese universities for internationalization. The study hypothesized that successful internationalization efforts require comprehensive organizational strategies, administrative support, government collaboration, student engagement initiatives, cultural diversity promotion, technological advancements, curriculum development, faculty engagement, student support services, and alumni involvement. The research involved in-depth interviews with eleven participants from various roles within Chinese universities. Thematic analysis revealed multifaceted organizational, administrative, and student-centered strategies. The study emphasized the importance of government collaboration, cultural inclusivity, technological enhancements, and robust curriculum and faculty development. Notable findings suggested a need for proactive government engagement, impactful student support services, and alumni networks. This dataset is a valuable resource for researchers, policymakers, and educators who wish to learn about effective internationalization practices in Chinese higher education. It provides nuanced perspectives for informed decision-making and further exploration of related themes.
DOI: 10.5281/zenodo.10599950
title: Odeuropa multilingual benchmark with olfactory information

description: This page contains the annotations related to olfactory information from the benchmark created for the ODEUROPA project.

For 7 languages we selected a pool of documents covering different time periods (from 1620 to 1925) and topics (e.g. medicine, law, literature).

For every language we provide the list of the annotated Frame Elements in WebAnno format and the related .txt files.

Mor information are available at https://github.com/Odeuropa/benchmarks_and_corpora/
DOI: 10.5281/zenodo.10599951
title: Odeuropa multilingual benchmark with olfactory information

description: This page contains the annotations related to olfactory information from the benchmark created for the ODEUROPA project.

For 7 languages we selected a pool of documents covering different time periods (from 1620 to 1925) and topics (e.g. medicine, law, literature).

For every language we provide the list of the annotated Frame Elements in WebAnno format and the related .txt files.

Mor information are available at https://github.com/Odeuropa/benchmarks_and_corpora/
DOI: 10.17630/55e305b2-410e-44d3-9300-96123c69fe8d
title: Intramolecular Borylation via Sequential B-Mes Bond Cleavage for the Divergent Synthesis of B,N,B-doped Benzo[4]helicenes (dataset)
DOI: 10.5281/zenodo.10599994
title: cynoglossus_puncticeps_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10599995
title: cynoglossus_puncticeps_spades_01.fasta.gz

description: .
DOI: 10.17630/7b0cfca2-b3b9-4a2a-a557-eb983e5ba132
title: A Pd3L6 Supramolecular Cage Incorporating Photoactive (dataset)
DOI: 10.17632/f48nj4vxk3.1
title: The Effects of Pandemics on Income Inequality: Visualizing a Theoretical Analysis

description: The operation has been confirmed with R4.3.2.
The author does not provide support or guarantee any potential errors that may occur during the execution of the codes. Please use it at your own risk.

Table 1, run script Table1.R.
Figure 1, run script Fig1.R.
Figure 2, run script Fig2.R.
Figure 3, run script Fig3.R.
Figure 4, run script Fig4.R.
Figure 5, run script Fig5.R.
Figure 6, run script Fig6.R.
Figure 7, run script Fig7.R.
Figure 8, run script Fig8.R.
Figure 9, run script Fig9.R.
Figure 10, run script Fig10.R.
Figure 11, run script Fig11.R.
Figure 12, run script Fig12.R.
Figure 13, run script Fig13.R.
Figure 14, run script Fig14.R.
Figure 15, run script Fig15.R.
DOI: 10.17630/2a46952f-ed2c-4145-9dcd-ad1d2634e0a2
title: Data underpinning "The Importance of 1,5-Oxygen---Chalcogen Interactions in Enantioselective Isochalcogenourea Catalysis"
DOI: 10.7925/drs1.duchas_4785993
title: Green Woods of Truagh

description: Story collected by Maggie Corrigan, a student at Killybrone school (Killybrone, Co. Monaghan) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher P. Coyle.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5130985
title: Story

description: Story collected by a student at Rathgarroge school (Rathgaroge, Co. Wexford) from informant Nicholas Roche.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Micheál Ó Floinn.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.