cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zncrtr2yhn.1
title: CUCUMBER

description: The dataset consists of over 500 images of cucumbers (Cucumis sativus L), categorized into two classes: "good" and "bad." These images were captured using a Xiaomi 11i mobile camera against a black background under daylight conditions.

**Data Description:**

1. **Classes:**
 - Good: Represents healthy cucumbers exhibiting desirable characteristics such as uniform shape, color, and absence of blemishes or deformities.
 - Bad: Encompasses cucumbers displaying signs of damage, disease, or other undesirable traits such as discoloration, rot, bruises, or irregular shapes.

2. **Image Collection:**
 - The dataset comprises over 500 images, with a substantial number depicting both good and bad instances of cucumbers.
 - Images were captured under consistent lighting conditions to maintain uniformity and minimize environmental variability.
 - A black background was used to enhance cucumber visibility and isolate the subject.

3. **Data Source:**
 - Images were captured using a Xiaomi 11i mobile camera, ensuring consistent image quality and resolution throughout the dataset.
 - Daylight conditions were chosen to provide natural lighting, reducing artificial effects on cucumber appearance.

4. **Annotation:**
 - Each image is labeled according to its class (good or bad), facilitating supervised learning tasks.
 - Annotations may include bounding boxes or masks delineating the cucumber area to aid in localization tasks.

5. **Data Preprocessing:**
 - Preprocessing steps such as resizing, normalization, and background removal may have been applied to the images to enhance model performance and reduce computational complexity.
 - Metadata such as image resolution, format, and capture settings may accompany the dataset for reference.

6. **Data Distribution:**
 - The dataset maintains a balanced distribution between good and bad cucumbers, ensuring equal representation of both classes.
 - Randomization techniques may have been employed during data collection and organization to mitigate biases in model training.

7. **Potential Applications:**
 - The dataset can be utilized for various machine learning tasks, including classification, object detection, and image segmentation, particularly in the agricultural domain.
 - Applications may include automated sorting systems for cucumber quality control, disease detection, and crop management.

8. **Limitations:**
 - Despite efforts to ensure data consistency and quality, variations in lighting conditions, camera angles, and cucumber orientation may introduce some level of variability.
 - The dataset primarily focuses on cucumbers of Cucumis sativus L and may not generalize well to other cucumber varieties or environmental conditions.
DOI: 10.17632/7j7n2r2zcm.3
title: EEG dataset of children with learning disabilities (LD)

description: When using this resource, kindly cite the original publication:

Sase, T., & Othman, M. (2022). Prediction of ADHD from a Small Dataset Using an Adaptive EEG Theta/Beta Ratio and PCA Feature Extraction. In International Conference on Soft Computing and Data Mining (pp. 101-110). Springer, Cham.


Participants
Participants are 4 children with learning disabilities (LD) (boys and girls, aged 5-8 years).  The LD children were diagnosed by health professionals, and none of -them were under medications.  All of the children are right-handed.  

Hardware and dataset
EEG recordings were performed using 19-channels Brainmarker EEG machine with the sampling rate of 250Hz and Pz as the reference electrode. 

The presented dataset is for the following tasks: 1) eyes closed (1 minute), and 2) watching facial expressions for the emotion fear from the Radboud Faces Database (RafD).  The emotionally related facial expressions may help the children to change his/her feelings.  The experimental protocol was approved by the IIUM Research Ethics Committee No 419 (IREC 419).

The file names have the following format: {participant_id}_{task}.csv
DOI: 10.17632/hdz6cypk9d.1
title: 2022 Federal Election Campaign Leaders' Transcripts and Statements

description: This dataset comprises all media releases, speeches, opinion pieces, and transcripts of interviews and doorstops released by the leaders of the two major parties, Scott Morrison and Albanese, through their websites during the 2022 Federal Election Campaign. They are organised by date. The original websites have sense been deleted. The data also includes the topic groupings that the authors used to undertake their analysis of these materials.
DOI: 10.17632/r9bfpnvyxr.5
title: Monkeypox Skin Images Dataset (MSID)

description: The latest outbreak of monkeypox has now become a source of concern for healthcare professionals throughout the world. It is essential to have an early diagnosis in order to slow down its rapid progression. For this purpose, we have created a new skin image-based dataset for the detection of monkeypox disease. This dataset consists of four classes: Monkeypox, Chickenpox, Measles, and Normal. All the image classes are collected from internet-based health website sources. The entire dataset has been developed by the Department of Computer Science and Engineering, Islamic University, Kushtia-7003, Bangladesh and School of Computer Science and Technology, University of Science and Technology of China (USTC), Hefei, Anhui, 230026, China
DOI: 10.17632/zgtkd256bk.1
title: Pandemic Effects on Rural Bangladeshi Students' Lifestyle and Learning

description: This dataset, consisting of 700 samples, captures the experiences, well-being, and educational challenges faced by students in rural Bangladesh during the COVID-19 pandemic. It surveys various aspects of student life, including personal interests, academic focus, access to learning resources, and emotional responses during the pandemic. This data provides insights into how the pandemic affected students' academic performance, mental health, family dynamics, and lifestyle in rural areas.

Column Descriptions:
Timestamp: Date and time of response; Data Type: Datetime
Name (নাম): Respondent's name; example: Meherajul Islam, Data Type: Categorical
Age (বয়স): Respondent's age in years; example: 16, Data Type: Numeric
Gender (লিঙ্গ): Respondent's gender; example: Male, Data Type: Categorical
Which class are you in? (তুমি কোন শ্রেণীতে পড়?): Current class grade; example: 10, Data Type: Numeric
District (জেলা): Home district of respondent; example: Chandpur, Data Type: Categorical
Personal Interest (তুমি কি করতে পছন্দ করো?): Preferred activity; example: Playing outside, Data Type: Categorical
Can you acquire it now? (তুমি কি এখন করতে পারতেছ?): Whether the interest can currently be pursued; example: No, Data Type: Categorical
Want to go out despite health risk? (করোনা থাকা সত্ত্বেও বাইরে যেতে চাও?): Willingness to go outside despite health risks; example: No, Data Type: Categorical
Pandemic hampers study? (পড়াশোনার ক্ষতি করছে?): If COVID-19 affected studies; example: Yes, Data Type: Categorical
Concentrate like before? (মনোযোগ দিতে পারতেছ?): Ability to focus on studies as before; example: No, Data Type: Categorical
Aware of Sangsad TV classes? (অনলাইন ক্লাসের ব্যাপারে জানো?): Awareness of Sangsad TV online classes; example: Yes, Data Type: Categorical
Participating in Sangsad TV classes? (অনলাইন ক্লাসে অংশগ্রহণ করো?): Participation in Sangsad TV classes; example: No, Data Type: Categorical
Can have favorite foods now? (প্রিয় খাবার পাচ্ছ?): Availability of favorite foods; example: No, Data Type: Categorical
Anger due to restricted activities? (প্রিয় কাজ করতে না দিলে রাগ?): Feeling of frustration due to restrictions; example: Yes, Data Type: Categorical
More scolded by parents? (বাবা-মা বেশি বকাঝকা করে?): If scolded more often by parents; example: Sometimes, Data Type: Categorical
More family time due to pandemic? (পরিবারের সাথে সময় বেশি?): Whether the pandemic increased family time; example: Yes, Data Type: Categorical
Visited relatives' homes (relative_house): Visits to relatives' homes; example: No, Data Type: Categorical
Miss school friend hangouts? (স্কুলের বন্ধুদের মিস করছো?): Missing hangouts with friends; example: Yes, Data Type: Categorical
Target: This column indicates the overall impact of the pandemic on the student’s well-being and activities. Categories include Full, Partial, and None.

*The dataset was utilized in this study: https://ijece.iaescore.com/index.php/IJECE/article/view/27098/15978 (DOI: 10.11591/ijece.v12i5.pp5501-5510)
DOI: 10.17632/f324nkftsz.1
title: Serum Th1, Th2, Th17 and innate immune system biomarkers are elevated in pediatric alopecia areata with and without concurrent atopic dermatitis: A cross-sectional study

description: Alopecia areata (AA) is a non-scarring alopecia with an autoimmune etiology, where aberrant T-lymphocyte mediated immune responses are implicated in its pathogenesis. Several robust studies have reported elevated Th1 (IFN-γ, CXCL9/10/11, IL-2RA, IL-12), Th2 (IL-10/13, CCL7/11/13/17/22/23, CCR4), Th17 (CCL20, PI3, S100A12) and innate (IL-6/8) immune biomarkers. Differences in biomarker profiles have been observed in AA patients with concomitant atopy. IL-13 was only elevated in atopic AA, while IFN-γ was only elevated in nonatopic AA, suggesting heterogeneity among AA patients. However, studies have yet to report biomarker profiles in pediatric AA patients. With increasing prevalence of AA in pediatric patients, a cross-sectional pilot study was conducted to investigate the biomarker profiles of pediatric patients with AA alone and AA with concomitant atopic dermatitis (AD).
DOI: 10.17632/5snrynxwn4.7
title: Car Advertisement (Study Materials)

description: The database contains popular car advertisement of 70 years (1946-2015). For example 50 image from the database are given here, rest can be accessed online from the related link given.
DOI: 10.17632/65y3mz8n3p.1
title: Data for Linking the spatiotemporal variation of litterfall to standing vegetation biomass in Brazilian savannas

description: Data on the woody vegetation structure measured in 48 plots distributed across four Cerrado physiognomies, Catalão-GO, Brazil. We established four sampling plots, which was surveyed between April and May 2014, measuring all woody plants (shrubs and trees) having at least one stem with a diameter ≥ 1cm at 30cm from ground level. Based on plant survey data, we estimated individual density, basal area, cylindrical volume, and aboveground biomass per plot. Data on the amount of litter accumulated in 48 litter-traps monitored during 12 months in four Cerrado physiognomies, Catalão-GO, Brazil. The annual litter production was monitored in the studied site using 48 circular funnel-shaped litter traps (0.5 in diameter) positioned 0.5 m above the ground. Plant material accumulating in these traps was collected at monthly intervals from April 2014 to March 2015, dried at 60 ºC for 3 days, separated and weighed to the nearest 0.0001g. The dry litter was sorted into four fractions: leaves, small-wood (twigs and barks with diameter &lt; 2 cm), reproductive structures, and miscellaneous items (i.e., non-identifiable fragmented plant material &lt; 2 mm). These datasets showed that changes in vegetation structure may affect spatiotemporal litterfall patterns in different Cerrado physiognomies, which co-occur across the landscape, with potential implications for the overall functioning of this ecosystem. Moreover, these findings highlight the use of standardized methods as essential to correctly compare litterfall patterns among different environments.
DOI: 10.17632/bbtjj8kd74.2
title: JaSTA-3: Light scattering simulations for heterogeneous aggregate

description: This article announces the development of the third version of the Java Superposition T-matrix App (JaSTA-3), to study the light scattering properties of heterogeneous aggregate particles. It has been developed using Netbeans 7.1.2, which is a Java integrated development environment (IDE). The JaSTA uses double precision superposition codes for multi-sphere clusters in random orientation, developed by Mackowski and Mischenko (1996). The new version consists of three options as part of the input parameters: (i) single wavelength, (ii) multiple wavelengths and (iii) Heterogeneous geometry. The first and second options (which retain the applicability of older versions of JaSTA) calculate the light scattering properties of aggregates of spheres for single and multiple wavelengths for randomly oriented particles, whereas the third option can execute light scattering simulations for heterogeneous aggregates (polydisperse and inhomogeneous) for multiple number of wavelengths in a single run over both random orientation and fixed orientation. JaSTA-3 is a major update of the application that aims to provide light scattering feed for more complex aggregates that can be used in diverse fields like Astrophysics, Planetary Science, Atmospheric Science, Nanoscience, etc. This version of the software is developed for Linux platform only, and it can take advantage of all the cores of a processor using the multi-threading option.
DOI: 10.17632/fjv74v2w65.1
title: Real-World Safety and Clinical Response of Janus Kinase Inhibitor Upadacitinib in the Treatment of Hidradenitis Suppurativa: A Retrospective Cohort Study

description: Real-World Safety and Clinical Response of Janus Kinase Inhibitor Upadacitinib in the Treatment of Hidradenitis Suppurativa: A Retrospective Cohort Study - JAAD 2022
DOI: 10.17632/fwd9hz2cy2.1
title: OEM investment announcements for future electric vehicles and related battery production in Europe from 2020 to 2022 towards 2030

description: We collected OEM and supplier investment plans announced in Europe between 2020 and 2022 towards 2030. This data is used to estimate the investment per unit of EV and related battery production capacity in Europe, and eventually to estimate the total planned production capacity of electric vehicles (EVs) and related batteries in Europe out to 2030. In this dataset, you can find the details of the announcement, the OEM and supplier name, the estimated start year of production, announced investment, announced production capacity (e.g., number of vehicles per year, or GWh/year), and the link to the source. Unless otherwise specified, Europe in this paper refers to the 27 European Union (EU) members, European Free Trade Association (Iceland, Norway, Liechtenstein, and Switzerland), and the United Kingdom.

Moreover, we categorize the investment announcement into firm and tentative ones. A firm investment announcement clearly states (1) the intention of the investment, either for EV battery or EV production; (2) when the money will be spent and when the commercial production starts; and (3) either or both the intended production capacity of the facility and the amount of the investment. Investment plans that do not clarify (1) the use or the volume of the investment, or (2) the start year of the production, or (3) are not officially announced yet are considered as tentative investments. 

It is important to keep in mind that it usually takes up to about 2 years to finish the construction of the plant and up to another 5 years for a factory to eventually operate at its full capacity (also called utilization rate).
DOI: 10.17632/pns69yxgrp.2
title: Dataset of 15-minute values of active and reactive power consumption of 1000 households during single year

description: The dataset of average 15 minute values of active and reactive energy consumption of 1000 individual anonymized households, mix of rural and urban, during year 2016.  Data were collected using Intelligent measuring systems (IMS) power meters installed at Point of Consumptions of 1000 households. All households are situated in the Slovak Republic. Data were provided for anonymous use and publishing by local Distribution system operator (DSO).  All households are connected to low voltage (LV) 0.4 kV network.
DOI: 10.17632/ccdgjcfvn5.1
title: GNSS Dataset (with Interference and Spoofing) Part I

description: GNSS Dataset (with Interference and Spoofing) consists of three parts: 
Part I (Raw data of 2023 12 to 20, Sept, 2023, clean data), 
Part II (Raw data of 2023 21 to 30, Sept, 2023, clean data) and 
Part III (Processed data 12 to 30, Sept, 2023; data collected with spoofing and jamming on 21 Dec, 2023; Scripts and Material) .

The data were recorded by a GNSS receiver installed on the 5th floor of the Science Hall of Yunnan University. HackRF One emits spoofing signals and the commercial jammer emits suppression jamming to attack the receiver on 21 Dec, 2023. The provided datasets are interesting for the GNSS monitoring, GNSS security, anti-jamming and anti-spoofing mechanisms based scientific communities.

These data provide the most comprehensive information available on the spatial and temporal patterns of GNSS satellites, observation and receiver parameters, referring to five constellations (GPS, Campass, Galileo, GLONASS and QZSS) and eight signal bands (L1C/A, L2C, E1, E5b, B1, B2, L1, L2). The dataset provides observations of the receiver three scenarios: normal state, affected by commercial jammers, and spoofed by SDR HackRF One. These observations include more details such as carrier-to-noise density ratio (C/N0), signal spectrum, Doppler shift, pseudorange, carrier phase, satellite health indicator, real-time position data and dilution of precision (DOP), etc. These data can be used to analyze navigation satellite operation rules, satellite covering time above the receiver, satellite overhead time prediction and GNSS monitoring system construction, provides a large amount of fine-grained data that can be used as an example to study safeguards at civil aviation airports, monitoring for harmful radio interference.
DOI: 10.17632/5xcwrr87gn.1
title: Supplemental Materials: A dermatologic assessment of 101 mpox (monkeypox) cases from 13 countries during the 2022 outbreak: skin lesion morphology, clinical course, and scarring

description: 
Supplement 1. Clinical images of skin lesions from patients with mpox infection reported to the AAD/ILDS Registry, including changes in morphology over time

Supplement 2. Treatment of mpox infection and co-infection among patients reported to the AAD/ILDS Registry
DOI: 10.17632/4v2bs6vdy6.1
title: TJES

description: TJES Tikrit Journal of Engineering Sciences
DOI: 10.17632/494jcxxs3t.1
title: Data for: Emerging economies, trade policy, and macroeconomic shocks

description: Abstract of associated article: This paper estimates the impact of aggregate fluctuations on the time-varying trade policies of thirteen major emerging economies over 1989–2010; by 2010, these WTO member countries collectively accounted for 21% of world merchandise imports and 22% of world GDP. We examine determinants of carefully constructed, bilateral measures of new import restrictions on products arising through the temporary trade barrier (TTB) policies of antidumping, safeguards, and countervailing duties. We find evidence of a counter-cyclical relationship between macroeconomic shocks and new TTB import restrictions as well as an important role for fluctuations in bilateral real exchange rates. Furthermore, the trade policy responsiveness coinciding with WTO establishment in 1995 suggests a significant change relative to the pre-WTO period; i.e., new import restrictions became more counter-cyclical and sensitive to real exchange rate shocks over time. Finally, we also present results that explicitly address changes to the institutional environment facing these emerging economies as they joined the WTO and adopted disciplines to restrain their application of other trade policies such as applied import tariffs.
DOI: 10.17632/r79kjdvsyf.2
title: YdiU regulates Salmonella oxidation balance by UMPylation of SodA

description: YdiU is a novel UMPylation modification enzyme that plays an important role in regulating chaperones, flagellar synthesis, and iron absorption in Salmonella. Here, we report that YdiU plays an important role in regulating oxidative stress in Salmonella. The expression of ydiU was dramatically induced by hydrogen peroxide (H2O2) and the survivability of △ydiU was significantly stronger than that of WT under oxidative stress. Interestingly, in vitro and in vivo experiments showed that YdiU can interact with SodA and UMPylate it only in the presence of H2O2.  Further study showed slight changes in the secondary structure of SodA under oxidative stress. Structural analysis of native protein and H2O2-treated protein showed that H2O2 treatment affected the conformation of Met24. The modification site Tyr12 is near Met24, and Tyr12 exposure may facilitate UMPylation by YdiU after H2O2 treatment. In addition, in vivo and in vitro experiments showed that YdiU negatively regulates SodA activity. Therefore, our results identify new biological functions of YdiU, highlight the importance of UMPylation in bacterial oxidation balance, and provide the theoretical basis to study Salmonella survival and pathogenesis.
DOI: 10.17632/vxkmk2fyxf.1
title: Data for: Household characteristics and End-Use electricity in Japanese residential houses

description: This dataset was conducted in January to February 2018, aims to characterize the Japanese household properties, meanwhile investigate the electricity consumption by end-use of 12 households in electric-only multi dwellings in Higashida Smart Community, Kitakyushu, Japan. Hourly electricity load data (HEL) was measured by energy monitor while household characteristics and occupancy were collected from household surveys. It shows relationships between the lifestyle aspects and residential Electricity End-Use (EEU). This database lays a platform for applying energy monitors and ordinary surveys, which defines the contribution of HEL and OCC data in analyzing energy-related lifestyle in a residential area. Household occupants and researchers can refer to the energy performance reports for raising awareness of saving energy in residential houses in Japan and toward the global environmental cities in general.
DOI: 10.17632/k2w5rtjg3f.1
title: Sb isotope fractionation of strong Chemical Weathering in Tropical

description: This study aims to explore the mechanism of antimony (Sb) isotope fractionation during chemical weathering and soil biogeochemical processes, which has important implications for the Sb isotope composition in the hydrosphere. We analyzed the major and trace element contents and Sb isotope composition along an 8 m deep basalt weathering profile in the Huguangyan area of Guangdong Province in southern China.
DOI: 10.17632/dvv6kf856g.2
title: EPICC

description: The evolutionary dynamics of human colorectal cancer using single-gland spatial multi-omic profiling of DNA, RNA and chromatin
DOI: 10.17632/9vn3td358j.1
title: Regulation of alternative polyadenylation by the C2H2-zinc finger protein Sp1. Song et al.

description: Unprocessed blot images
DOI: 10.17632/b9v9x5pk96.1
title: Handwritten Numbers (HN)

description: Handwritten numbers from one to three digits extracted from public documents. There are 10000 images of different sizes of numbers between 0 and 303 with a imbalanced distribution, there are even numbers without samples. This dataset was created to do proofs with classification models reuse.
The images are named with numbers from 0 to 9999, the file labels.csv contain the labels. The number in the name of a image is the number of the row in labels.csv file that content its label.
There might be some tagging errors caused by semi-automatic generation, this will be fixed in future releases.