cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jfcz7gh7yc
title: MOYA FISH

description: ### Data Description: Good and Bad Classification of Moya Fish (Mola Mola)

*Data Collection Overview:*
The dataset consists of over 500 images of Moya fish (Mola Mola), captured for the purpose of classifying them into two categories: "Good" and "Bad." The images were taken using a Redmi 9 Power mobile camera, ensuring a consistent image quality. All images were captured against a black background in daylight conditions, which provides uniform lighting and minimizes distractions, enhancing the focus on the fish's features.

*Camera and Environmental Conditions:*
- *Camera Used:* Redmi 9 Power mobile camera.
- *Resolution:* The images are expected to be of high resolution, typically around 48 MP, given the camera specifications.
- *Background:* The black background ensures high contrast between the fish and its surroundings, making it easier to distinguish and analyze the features of the fish.
- *Lighting:* Daylight conditions were used to illuminate the fish naturally, avoiding harsh shadows or artificial lighting effects that could alter the fish's appearance.

*Dataset Composition:*
- *Total Images:* The dataset includes more than 500 images, with an approximately equal distribution between "Good" and "Bad" classifications.
- *Good Moya Fish:* These are images where the fish are healthy, intact, and exhibit ideal physical characteristics such as a smooth body surface, symmetrical fins, and clear eyes.
- *Bad Moya Fish:* These images capture fish that may have deformities, damage, disease, or any physical imperfections that deviate from the ideal standards. This could include discoloration, missing parts, abnormal growths, or signs of infection.

*Image Attributes:*
- *Format:* The images are likely in a standard format such as JPEG or PNG, commonly supported by mobile cameras.
- *Color Space:* The images are captured in color (RGB), which is crucial for distinguishing subtle differences in fish coloration that might indicate good or bad quality.
- *Orientation:* Images are expected to be consistently oriented to present the fish in a similar perspective across the dataset, facilitating easier comparison and classification.

*Use Case and Applications:*
This dataset is valuable for developing machine learning models that can automatically classify Moya fish into "Good" or "Bad" categories. Such models can be used in aquaculture, fisheries management, and quality control processes to ensure only the highest quality fish are selected for further processing or sale.

*Challenges:*
- *Variability in Fish Appearance:* Despite the controlled conditions, natural variability in the fish’s appearance may pose challenges in classification, necessitating a robust model that can handle such variations.

This dataset serves as a comprehensive resource for developing, testing, and validating classification algorithms aimed at assessing the quality of Moya fish, contributing to advancements in automated fish quality assessment systems.
DOI: 10.17632/xrb5b2642r
title: Results of GC–MS analysis of volatiles extracted by mechanical shock crushing from minerals in MAR 

description: The data represent the results of the study of the composition of fluid inclusions in sulfides, anhydrites, and carbonates from sulfide and carbonate structures of hydrothermal fields of the Atlantic Ocean (Ashadze-1, Semenov-2, Krasnov, Rainbow, and Lost City), using pyrolysis-free gas chromatography-mass spectrometry.
DOI: 10.17632/4scjsgy645
title: The influence of mesoscale eddies on sedimentary processes in the western South China Sea since 32 kyr BP

description: Clay minerals composition, grain size properties, total organic carbon weight content and AMS 14C data for core 18xb47 in the western South China Sea.
DOI: 10.17632/4td7fr39fr
title: Spatial, temporal and technical variability in the diversity of prokaryotes and fungi in agricultural soils

description: Data and script related to the results presented in the scientific article : The Spatial, temporal and technical variability in the diversity of prokaryotes and fungi in agricultural soils published in the journal Frontiers in Soil Science
DOI: 10.17632/gbf9w66876
title: Vehicle Occupancy Period Data

description: The vehicle occupancy period data offers information regarding the occupancy period for each parking slot resources, R(c) for selected car parks within the Frenchay campus. Parking inventory provides data regarding the entry and exit time of the i^th vehicles to and from the j^th carpark. This data was obtained from the UWE Estates and Facilities department. To comfortably model the distribution of parking slot resource occupancy period, data obtained from the parking inventory were fitted into several distributions. Table 1 attached summarises the outcome of these analyses while the spreadsheet contains the raw data and the probability distribution.
DOI: 10.17632/w37rx9hpb7
title: Potential bulged G-quadruplex forming sequences (pG4-BS) in the human genome

description: Dataset containing the genomic coordinates of potential bulged G-quadruplex forming sequences (pG4-BS) in the human genome (Assembly: GRCh38). G-quadruplexes (G4s) are non-canonical DNA structures that are commonly found in single-stranded DNA (e.g., during transcription and replication). "Canonical" G4 finding algorithms have existed for a number of years and these utilize a generalized sequence model (G3+N1-7G3+N1-7G3+N1-7G3+; where "G3+" denotes a cluster of at least 3 continuous guanines and "N1-7" denotes any combination of one to seven nucleotides) to capture potential G4 forming DNA regions. Bulged G4s represent a novel subset of G4-like structures that incorporate non-guanine nucleotide(s) into one or more of their guanine clusters. Due to the highly diverse nature of the DNA sequence underlying these structures, no genome wide maps of pG4-BS are available for any organisms. Here, we provide a computationally derived dataset containing the genomic coordinates of pG4-BS in the human genome.
DOI: 10.17632/z87bmwnc4n
title: Data for: Using cancer control status and APACHE II score to evaluate hospice care for critically ill patients with cancer and sepsis

description: raw data
DOI: 10.6084/m9.figshare.25705509.v1
title: Universal Rapid Weather Prediction Model (Sonagi Model) Forecast Current Result

description: Universal Rapid Weather Prediction Model (Sonagi Model) Forecast

(Based on the data starting 288 hours before the current date, predicting15 days after current day)

https://github.com/flyingtext/sonagi-model

somehowme@gmail.com;flyingtext@nate.com

https://sonagi-weather.web.app

Prediction is based on the observation data of
 - Korea Meteorological Administration API
 - United States National Weather Service API
 - Canada MSC GeoMet API
DOI: 10.17632/h88yd464w3
title: FACTORS AFFECTING ON CONSUMER'S PERCEPTION TOWARDS DIGITAL PAYMENT IN NEPAL

description: This primary data has collected through survey in Nepal. This data measures impact of perceived usefulness, self-efficacy, perceived trust, perceived ease of use and privacy and security on customers' perception towards digital payment system in Nepal.
DOI: 10.17632/my4r464b4m
title: Dataset ACFTA

description: This dataset contain GDP, FDI, Trade, corruption perception index, and inflation in ASEAN-China Free Trade Area period 2007-2022
DOI: 10.15468/dl.gb6xx5
title: Occurrence Download

description: A dataset containing 915 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heliotropium bacciferum Forssk.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 915 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009119-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/hhgd-2z16
title: ABD194 pollen surface sample dataset

description: Raw data for the ABD194 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28784951.v1
title: Supplementary Table S1

description: The file contains Supplementary Table S1, showing a key to the museum abbreviations referenced in van Wyk et al. (2025).
DOI: 10.17632/y8scg8v97x
title: How Does Trade Respond to Anticipated Changes in Tariffs: Evidence from NAFTA

description: Replication files
DOI: 10.17632/v4vh4frpnv
title: Resolution of Hexasome-Nucleosome Complexes by Chd1 and FACT - Raw image data files

description: Raw image data files associated with the manuscript "Resolution of Transcription-Induced Hexasome-Nucleosome Complexes by Chd1 and FACT" by Maik Engeholm, Johann J. Roske, Elisa Oberbeckmann, Christian Dienemann, Michael Lidschreiber, Patrick Cramer and Lucas Farnung
DOI: 10.17632/zk28pzzgdt
title: Tilting-tracking photovoltaic systems enhance soil quality and vegetation recovery in an arid desert steppe

description: This study focuses on the construction of large-scale mobile tilted photovoltaic panels, which have an impact on soil and plants. Evaluate soil quality using SQI. Explain the impact of constructing photovoltaic panels on vegetation and soil in desert grasslands.
DOI: 10.17632/hhrb7phdyx
title: NADiA: News Articles Dataset in Arabic for Multi-Label Text Categorization

description: NADiA Dataset is the largest, to the best of our knowledge, source for Arabic textual data that can be used in any NLP related task such as text classification. We chose the abbreviation NADiA as it is a common Arabic name. The data was collected by scraping ‘SkyNewsArabia’ and ‘Masrawy’ news websites using Python scripts that are fine-tuned for each website. SkyNewsArabia will be referred to as NADiA1, while the latter would be NADiA2. NADiA1 is a big dataset containing 37,445 files, while NADiA2 is a huge dataset that contains 678,563 files. However, after filtering and cleaning we reduced the numbers to 35,416 and 451,230 for NADiA 1 and 2, respectively. NADiA1 consists of the following categories (24, displayed in English for easy referencing): News, North Africa, Levant, Middle East, The Americas, Research, Finance & Economy, War & Terrorism, Gulf, Europe, Political Figures, Iran, Technology, Russia, Sports, Tennis, Football, English League, Arabian Sports, Spanish League, Health, East Asia, Environment, Other Countries NADiA2 consists of the following categories (28, displayed in English for easy referencing): Politics, Middle East, Asia, Africa, United States, Europe, Other Countries, Leaders, Sports, Arabian Sports, Football Clubs, Spanish League, Egyptian League, Finance, Arts, Cinema & TV, Fashion, Health, Pregnancy & Delivery, Cancer, Obesity, Social Media, Technology, Religion, Islamic, Fatawa, Worship, Prophet Biography
DOI: 10.17632/wcrrtjh37k
title: AGFACE CO2 Dataset

description: Within the Australian Grains Free Air CO2 Enrichment (AGFACE) research program, several facilities were established at different field sites near the towns of Horsham (36.752 S, 142.114 E; 127 m elevation), and Walpeup (35.121 S, 142.005 E; 94 m elevation) in the state of Victoria Australia from 2007 – 2017. These included: TraitFACE, SoilFACE, WalpeupFACE, VegeFACE, and NFACE. These facilities were designed to answer different questions to support research to understand the impacts of elevated CO2 on crop physiology and production. FACE ‘rings’ (octagons) were built to elevate atmospheric CO2 to 550 µmol/mol expected by 2050 and allowing crops to grow freely, without enclosures. Each side of an octagonal ring was individually controlled by a ring-side controller that injected CO2 over crops as per control program. Infrared Gas Analysers (IRGAs) placed at ring centres sampled and analysed air continuously. IRGAs measured atmospheric CO2 levels during the cropping season and provided feedback to the controller to maintain ring-centre CO2 concentration ([CO2]) at 550 µmol/mol. The [CO2] data, measured each second, were collected from the centre of each active FACE ring from 2007 until 2017. Wind direction and speed were monitored continuously at 2 m above the soil surface at the centre of each ring. These measurements were also collected at the centres of a couple of ambient experimental areas (control – no rings) using the same IRGA and wind sensors. A wireless ethernet local area network (LAN) and a Visual Basic program were used to monitor and transmit data from the individual rings and control areas for data logging. Data at every 4th second and one-minute average (A_MN_CO2) from each ring were logged to daily files, and only A_MN_CO2 data were combined into a seasonal cumulative file. All data recorded during the IRGA warmup period and due to equipment malfunction were removed from cleaned data files. Only A_MN_CO2 data from the rings are uploaded in the Mendeley Data Repository, because these data are principally used by the scientists and researchers. Data columns in an individual clean file are labelled with abbreviated column names and their description is provided in Table 3 of the related article. • These data are useful for the design and performance of Free Air CO2 Enrichment (FACE) systems which inject pure CO2 from the horizontal tubes surrounding FACE rings. It will provide data to assess the variation and stability of CO2 at ring-centres. Models for wind speed and direction vs [CO2] can be developed from these data as co-variates to analyse biophysical data. • Engineers and scientists who design and develop FACE systems will benefit from these data. • Year-to-year [CO2] data at ring-centre can be analysed to evaluate the performance of pure CO2 injected FACE rings for various ring sizes and wind speeds. This will help engineers and scientists to optimise the FACE design.
DOI: 10.17632/gj654hbpyx
title: Data for: Why Do Countries Emulate Each Others' Policies? A Global Study of Renewable Energy Policy Diffusion

description: The files in this dataset provide replication data for Why Do Countries Emulate Each Others' Policies? A Global Study of Renewable Energy Policy Diffusion. Files include the replication dataset, do files used to prepare data for analysis and to run analysis used in the paper, and a codebook of variable names used in the final analysis.
DOI: 10.17632/vv94gbvsfg
title: ImmunoAIzer Dataset Supplementary PD-1 files

description: This dataset is a supplement to the original ImmunoAIzer dataset: DOI: 10.17632/6rkw48wspj.1

In this supplementary dataset, we include registered aligned image blocks of H&E and PD-1 staining of the slides used in paper:

Bian C, Wang Y, Lu Z, et al. ImmunoAIzer: A deep learning-based computational framework to characterize cell distribution and gene mutation in tumor microenvironment[J]. Cancers, 2021, 13(7): 1659.
DOI: 10.17632/2sr5bwb8hv
title: Baicalein suppresses Coxsackievirus B3 replication by inhibiting caspase-1 and viral protease 2A

description: All the data generated during the current study are included in the manuscrip, included WB data, RT-qPCR data and some data about vivo experiments.
DOI: 10.6084/m9.figshare.27273939.v1
title: <b><i>Angelica pubescens genome</i></b>

description: <i>Angelica pubescens</i> plants were cultivated in Wufeng Mountain, Yichang City, Hubei Province, China.Genomic DNA was extracted from young leaves and the mixed samples consisting of leaves, stems, roots, flowers, and flower buds of 3-year old plants was used to extract mRNA and structure full length transcriptome sequencing.the Illumina HiSeq X Ten and PacBio Sequel II platforms and the high-throughput chromatin capture (Hi-C) technology were used to sequence and assemble the chromosaome-scale genome of <i>A. pubescens</i>.
DOI: 10.15468/dl.cuavh9
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Archidendron jiringa (Jack) I.C.Nielsen",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009120-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/m6df3wnj6p
title: Seismic Data and Fault Detection Labels for Machine Learning Analysis

description: This dataset contains seismic data and corresponding fault detection labels used for the research article titled "Fault Detection in Seismic Data Using Machine Learning Models." The seismic data includes preprocessed seismic traces in MATLAB format, while the fault labels are provided as binary matrices representing fault locations. The dataset was generated and analyzed using various seismic attributes, including similarity, coherency, and instantaneous phase, to enhance the accuracy of fault detection.

The data can be used for benchmarking fault detection algorithms, developing machine learning models, and validating geophysical interpretation methods.

Content Overview:

Seismic Data: Processed seismic sections in MATLAB format.

Fault Labels: Binary images indicating fault locations.

Attribute Maps: Extracted seismic attributes (e.g., Coherency, Similarity) in .mat format.

Metadata: Information about data preprocessing and attribute extraction.

Data Usage:
Researchers are encouraged to use this dataset for further studies in fault detection, seismic interpretation, and machine learning applications. Proper citation of the related article is appreciated.

Contact:
For inquiries regarding the dataset, please contact the corresponding author of the article.
DOI: 10.17632/rb2zwwg3jf
title: Do Humour Styles Impact Psychological Well-Being and Emotional Competence?

description: Humour is an emotional response that involves laughter and a perception of playful incongruity in a social context. Each humour style reflects the different ways in which individuals use humour in their daily lives habitually, spontaneously, and perhaps unconsciously. The present study aimed at studying the role of adaptive humour and its benefits on psychological well - being along with enhancing the emotional competencies of young adults while viewing humour as an important emotional regulation mechanism. The Humour Styles Questionnaire by Martin, Puhlik- Doris, Larsen, Gray, and Weir (2003), Ryff’s psychological well-being scale (1989) and Emotional Competence Scale by Sharma and Bhardwaj (1998) were used to collect data from 127 young adults aged 18-25 using convenience sampling and analysed using statistical measures such as Spearman's rank correlation and generalized linear models. The results showed that affiliative and self-enhancing humour styles have a significant positive relationship with overall psychological well-being, while aggressive and self-defeating humour styles have a significant negative relationship with it. Affiliative, self-enhancing, and self-defeating humour styles also predict psychological well-being. Emotional competence has a significant positive relationship with self-enhancing humour style and a significant negative relationship with self-defeating humour style. Both humour styles are significant predictors of emotional competence. The study highlights the importance of using humour adaptively to increase emotional competence and psychological well-being, which can aid in creating stronger interpersonal relationships, social skills, and vocational soft skills. It also encourages individuals to use humour adaptively as a conscious strategy to cope with stressful or difficult situations.
DOI: 10.17632/ttfn93rdt4
title: Data for: USE OF A 2.5% POLYACRYLAMIDE HYDROGEL IN THE MANAGEMENT OF JOINT LAMENESS IN A POPULATION OF FLAT RACING THOROUGHBREDS: A PILOT STUDY

description: Data set provides horse identification, sex and age of horse, joint involved, radiological score at time of administration, lameness grades at 0, 1, 4, 12 and 26 weeks, previous intra-articular treatments, joint effusion grades, range of motion of affected joints and statistical analysis of data set.
DOI: 10.17632/9z79s2yjtv
title: Data repository

description: The data presented in this study is derived from a synthesis of datasets from prominent institutions such as the Organization for Economic Cooperation and Development (OECD), the World Bank, and the Centre d’Etudes Prospectives et d’Informations Internationales (CEPII). Access to the data is open to all individuals for verification and scrutiny. Additionally, the researchers provided references to the Stata commands utilized during the course of their research analysis.
DOI: 10.17632/r6dcf26mvp
title: The list of Multi-Language Journals from Web of Science Core Collection masterlist with Impact Factor and Share of English Language Documents In Previous Two Years

description: The data about the share of English Language documents in previous two years and value of Impact Factor in 3th year from 2006 to 2016 years. The data was prepared for article: Non-English language publications in Citation Indexes – quantity and quality / Olga Moskaleva and Mark Akoev // 17th International Conference on Scientometrics and Informetrics ISSI 2019 and 24rd International Conference on Science, Technology and Innovation STI 2019
DOI: 10.6084/m9.figshare.7635752.v1
title: Bollywood VS Hollywood runtime comparison

description: Dataset of Bollywood and Hollywood feature-length film runtimes based on data available on DBpedia/Wikipedia.<br>Bollywood: https://en.wikipedia.org/wiki/Category:Lists_of_Bollywood_films_by_yearHollywood:https://en.wikipedia.org/wiki/Category:Lists_of_American_films_by_year<br><br>Work/runtime data were obtained from http://dbpedia.org/ when available.Otherwise, if the "Running time" field was present in the http://en.wikipedia.org/wiki page Infobox, the data in that field was used.The data were further manually screened to remove any entries for non-feature-length films such as short films and TV series; however, this screening was not exhaustive.
DOI: 10.17632/5t8y8r5xbk
title: The Effect of Cooling Rate and Degassing on Microstructure and Mechanical Properties of Cast AZ80 Magnesium Alloy

description: The effect of casting cooling rate and degassing on the mechanical properties of cast AZ80 alloy is investigated. A water-cooled copper mould with a wedge geometry is chosen for the casting, which provides different cooling rates at different sections. The casting is performed with and without the addition of hexachloroethane degassing agent. Macrohardness, hot compression, quasi-static tensile, and stress-controlled cyclic tests are performed to characterize the mechanical properties of the cast samples. The microstructure of the material is studied using optical microscopy and X-ray computed tomography methods. The connection between the microstructure and mechanical test results shows that the morphology of primary α-Mg and porosity defects affect the mechanical properties of cast AZ80. The casting cooling rate controls both of these microstructural features. Higher cooling rates result in a finer dendritic morphology of α-Mg that improves mechanical properties and creates a finer and more discrete morphology of β intermetallic particles. The fine dendritic morphology results in smaller interdendritic regions, which in turn prevents pore coalescence and negates the detrimental effect of porosity on the quasi-static tensile and cyclic properties. In lower cooling rates, where the coarse grain structure of the cast material cannot prevent pore coalescence, degassing benefits the mechanical properties, especially fatigue resistance, by reducing the volume fraction of porosity defects. Moreover, the hot deformation behavior of cast samples shows that the addition of the degassing agent and casting with a higher cooling rate improves the range of deformation conditions where cracking will not occur.