cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9nxrf7fz4m.1
title: Li et al. 2022 JGRO 

description: This dataset consists of compiled observed pH and dissolved oxygen (DO) data from the Japan Sea by Li et al., along with a pack of Matlab code that can be used to reproduce the data.
DOI: 10.17632/h4c43m76fv.1
title: Translating Civil Engineering Technical Terms: Strategies and Equivalence in English-Arabic Translation

description: The translation of technical terms in civil engineering from English to Arabic poses considerable difficulties, particularly in developing nations where rapid advancements in engineering have created a linguistic gap between the two languages. The absence of corresponding terms in Arabic, combined with the fundamental structural differences between English and Arabic, presents significant challenges in the translation process. This study aims to investigate the translation strategies employed by translators, assess the levels of equivalence achieved, and analyze the correlation between the strategies used and the levels of equivalence attained. The hypothesis posits that translators primarily utilize reduction and expansion strategies to achieve textual equivalence while relying on literal translation for word-level equivalence. The dataset comprises five texts extracted from civil engineering manuals translated by five M.A. students at Tikrit University during the academic year 2022-2023. The analysis of these texts was conducted using Newmark's and Baker's models.
The findings indicate that translators predominantly depend on the literal translation strategy when converting civil engineering terms from English to Arabic, largely due to the lack of equivalent terminology in Arabic. This reliance results in a higher frequency of achieving equivalence at the word level rather than the textual level. Furthermore, the study underscores the importance of selecting appropriate translation strategies for accurate and effective translations of complex technical terms. It reveals that while literal translation typically leads to word-level equivalence, employing reduction and expansion strategies is more effective for achieving textual-level equivalence.
DOI: 10.17632/b5yc9sw7y9.5
title: The Mediating Role of Self-leadership on Basic Psychological Needs, Academic Self-efficacy and Career Adaptability When Life Satisfaction is Controlled 

description: In this study, a structural model was tested to investigate the mediating role of self-leadership in the relationships between basic psychological needs and career adaptability and academic self-efficacy and career adaptability. When testing the model, the effect of life satisfaction was controlled. 404 university students [67.3% females and 32.7% males] participated in the study. The participants responded to measures of basic psychological needs satisfaction, academic self-efficacy, self-leadership, career adaptability, and life satisfaction. The data was collected online by way of Google Forms from May to July 2021. The participants were accessed by sharing the study link with certain explanations on some courses and requested to share the link with their friends on their social media accounts, which university students follow.
DOI: 10.17632/mwsxdb2tpm.3
title: Codes for local resistance equivalence pore-throat segmentation (LoREPorTS)

description: The codes are used to locate the boundary between a pore and a throat when extracting networks from the digital core. Documentation and examples to illustrate the usage of the program are included. Moreover, the codes to calculate absolute permeability based on the extracted network are included, too. Note, the porespy (version 2.0.2)  and openpnm (version 2.6.1) must be pre-installed in order to run the codes successfully.
DOI: 10.15468/dl.r6uad3
title: Occurrence Download

description: A dataset containing 280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus bungeana Zucc. ex Endl.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 280 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009192-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5mhey
title: Occurrence Download

description: A dataset containing 3414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamotrygonidae",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen",
 "Continent is South America"
 ]
}

 The dataset includes 3414 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009193-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pk6tzrjks8.1
title: The HelthyAir Dataset: Outdoor Air Quality in Ho Chi Minh City, Vietnam 

description: Outdoor air quality data were acquired from the Air Quality Monitoring Network consisting of six air pollution monitoring stations across Ho Chi Minh City (HCMC), Vietnam. The raw data contains 52,549 records collected over a period from mid of February 2021 to mid of June 2022. The air quality dataset includes the data of particulate matter (PM2.5), Total Suspended Particles (TSP), Sulfur dioxide (SO2), Ozone (O3), Nitrogen Dioxide (NO2), Carbon Monoxide (CO) in µg/m3, and two meteorological parameters Temperature (°C) and Humidity. This dataset can be used for air quality modeling, spatiotemporal analysis, and air quality assessment across the different regions including traffic, residential, and industrial areas across the city.
DOI: 10.17632/b69p5y4ry2.1
title: FDI and Superstar Spillovers

description: Replication files for "FDI and Superstar Spillovers: Evidence from firm-to-firm transactions"
DOI: 10.17632/6mjv8t8y8b.1
title: SUPPLEMENTARY MATERIALS

description: MBX 2109, a Once-Weekly Parathyroid Hormone Replacement Therapy Prodrug: Phase 1, First-in-Human, Randomized Trial
DOI: 10.17632/h74hjw75k7.1
title: The Pro-Environmental Behavioral Intention of Villagers in Rural Tourist Destinations

description: This is the structural equation related data for local villagers ' pro-environmental behavior intention, with a total of 511 valid samples.
DOI: 10.17632/bc5stvb2m2.1
title: Phase separation of chimeric antigen receptor promotes immunological synapse maturation and persistent cytotoxicity

description: Original data of statistical analyses.
DOI: 10.17632/k637x42yxx.3
title: Experimental results of Gas-liquid Flow Pattern in Pipe
DOI: 10.17632/j6dtbc96xx.1
title: Uncropped Western Blots: for a manuscript demonstrating STING restriction of noroviruses

description: This dataset contains uncropped western blot scans in a single .pdf file for the paper titled "Leaked genomic and mitochondrial DNA contribute to the host response to noroviruses in a STING-dependent manner."
DOI: 10.17632/9k3bf6ksnd.1
title: Bag Damage Detection Dataset

description: The "Bag Damage Detection" dataset focuses on damages in bag, providing a specialized collection of 700 images captured using an iPhone 13 12MP rear camera. This dataset was gathered between October and December 2023, from the India Innovation Centre Vanderlande in Pune, as well as from platforms like Roboflow, YouTube, iStock, and Shutterstock. The images capture various scales and angles, simulating real-world conditions encountered in baggage handling systems. Each image is annotated with segmented bounding boxes marking the precise locations of damages such as tears, rips, and punctures, labeled with the classes "damage" and "bag." This detailed labeling will support the development of instance segmentation models using the latest algorithm. The dataset undergoes preprocessing steps including orientation, resizing to 640x640 pixels, and augmentation techniques like flips, rotations, and noise addition to enhance the model's robustness and generalization capabilities. This dataset is critical for applications in automated baggage handling, quality control, and security screening, aiding in the development of systems that can accurately assess the condition of luggage, thereby improving operational efficiency and reducing manual inspection efforts.
DOI: 10.17632/sk27t97ymb.1
title: Data Set of Depression (DASS 21) and Emotional Reactivity (ERS) - Indonesian

description: Data set of depression measurement of DASS 21 and emotion reactivity of Emotion Reactivity Scale (ERS) of Indonesia population. The DASS 21 consists of 746 data, and ERS consists of 438 data. The depression data set of DASS 21 has specific data set of three subscales namely Anxiety scale, Stress Scale, and Depression Scale. The emotion reactivity scale has specific data set of three subscales namely Sensitivity, Intensity, and Persistence. The data set also consists of demography data.
DOI: 10.17632/5nmj2kwfz9.1
title: Data for: Long-term impact of poultry manure on crop yield, soil and water quality, and crop revenue

description: This data includes a 20 year study of the environmental impacts of poultry manure on soil and water quality. The data includes field activities and manure application rates, soil and water quality. We also conducted a techno-economic analysis and include all assumptions and values in the spreadsheet.
DOI: 10.17632/cfsr5kvry3.1
title: MoLa-VI Dataset

description: This repository presents the dataset described in the article "In-car Damage Dirt and Stain Estimation with RGB Images", published in Proceedings of the 13th International Conference on Agents and Artificial Intelligence (2021).
The dataset consists of two main folders (IMAGES and SEGMENTATIONS) and a .json file (dataset.json).
In the IMAGES folder, we find 135 cars duly separated by 135 folders, in each one of them we find images of the interior of the respective cars under 9 different views duly divided by folders (P1 to P9).
In the SEGMENTATIONS folder, we find the same structure with the car image masks found in the IMAGES folder, these masks are composed of the classes found in the IMAGES, identified by a per-pixel id: 
(1) DMG_CUT, (2) DMG_WEAR, (3) DMG_BROKEN, (4) STAIN, (5) DIRT, and (6) GOOD.
It is also available a .json file with all the information about the dataset, that is, with an ID associated with each car, in which for each one of them presents the information 
of the car model (i.e. brand, type, seat colour, plastics colour, ceiling colour), and with information regarding the image and segmentation, in "*.jpeg" format.
 At the beginning of the .json file, the dataset location path must be updated, to index all the dataset information. 
In the dataset folder there are also 4 .mat files: (1-FixRoot) change the dataset root directory; (2-FilterDataset_percent) create 3 sub-json files with random samples and fixed percentage quantities; (3-Json2OBD) exports dataset samples, from a json file, with a sample format compatible with object detectors;
(3-Json2SEG) exports dataset samples, from a json file, with a sample format compatible with segmentators. For further information see https://repositorium.sdum.uminho.pt/handle/1822/74435.
DOI: 10.17632/wtp4ssmwsd.1
title: Traffic congestion Dataset

description: The main aim of this dataset is to enable detection of traffic congestion from surveillance cameras using one-stage object detectors. The dataset contains congested and uncongested traffic scenes with their respective labels. This dataset is collected from different surveillance cameras video footage. To prepare the dataset frames are extracted from video sources and resized to a dimension of 500 x 500 with .jpg image format. To Annotate, the image LabelImg software has used. The format of the label is .txt with the same name as the image. The dataset is mainly prepared for YOLO Models but it can be converted to other models format.
DOI: 10.17632/rhv8v9pbpf.2
title: Persistent and Transitory Components of Firm Characteristics 5

description: Part 5 of Dataset for replicating Persistent and Transitory Components of Firm Characteristics
DOI: 10.17632/wc57dfv6zs.1
title: Semi-real-time pure shift NMR spectroscopy

description: Pulse sequence code, macros, and example data for 1D band-selective semi-real-time pure shift NMR experiments Peter Kiraly, Mathias Nilsson, Gareth A. Morris NMR Methodology Group University of Manchester Nov 2017 ============================================================================================================= Experimental data [\data] \data\Fig-3 Sample details: 5mM cyclosporine in CD2Cl2 a.fid conventional proton experiment b.fid time-shared homodecoupling c/d/e/f_raw-data.fid raw data of interferogram/real time/WATERGATE-semi-real-time/semi-real-time experiments c/d/e/f_proc-data.fid processed data of interferogram/real time/WATERGATE-semi-real-time/semi-real-time experiments \data\Fig-4 Sample details: 0.05mM cyclosporine in CD2Cl2 a.fid conventional proton experiment b.fid time-shared homodecoupling c/d/e/f_raw-data.fid raw data of interferogram/real time/WATERGATE-semi-real-time/semi-real-time experiments c/d/e/f_proc-data.fid processed data of interferogram/real time/WATERGATE-semi-real-time/semi-real-time experiments Left and Right in filenames refers to the selected NH and CH region \data\Fig-5 Sample details: 0.58M 2,3-dibromothiophene in dmso-d6 (doped with chromium-acetylacetonate) a.fid conventional proton experiment b.fid time-shared homodecoupling without BS compensation c.fid time-shared homodecoupling with BS compensation d/e/f/g_raw-data.fid raw data of interferogram/real time/WATERGATE-semi-real-time/semi-real-time experiments d/e/f/g_proc-data.fid processed data of interferogram/real time/WATERGATE-semi-real-time/semi-real-time experiments \data\Fig-6 Sample details: 5mM cyclosporine in CD2Cl2 a.fid time-shared homodecoupling b.fid 1D band-selective TOCSY c.fid 1D sleective DQF-COSY d.fid conventional proton \data\Fig-7 Sample details: 2.5mM mixture of R/S-ibuprofen and 10mM beta-cyclodextrin in D2O a.fid conventional proton experiment b.fid time-shared homodecoupling using 10Hz SEDUCE-2 c.fid time-shared homodecoupling using 25Hz DSNOB d/e/f/g_raw-data.fid raw data of interferogram/real time/WATERGATE-semi-real-time/semi-real-time experiments d/e/f/g_proc-data.fid processed data of interferogram/real time/WATERGATE-semi-real-time/semi-real-time experiments ============================================================================================================= Macro files [\maclib] go_kp_ifPSZS_1d_01 go_kp_rtPSZS_1d_02 go_kp_srtPSZS_1d_02 kp_ifZSproc2 kp_makePS7 kp_makePS9 kp_rtACQ31_proc_v3 kp_srtACQ31_proc_v6 ============================================================================================================= Pulse sequence files [\psglib] kp_ifPSZS_1d_01.c kp_rtPSZS_1d_02.c kp_srtPSZS_1d_02.c =============================================================================================================
DOI: 10.17632/kb42z77m2g.2
title: EmpaticaE4Stress

description: The proposed data repository is organized as follows: a folder called “Subjects” in which there are 29 folders, one for each subject named “subject_xx” where xx is an increasing number ID. In each folder, there are six .csv file with all the data recorded by Empatica E4. Specifically: Blood Volume Pressure (BVP), Electrodermal Activity (EDA), Body Temperature (TEMP), Heart rate (HR), Inter-beat interval (IBI), Accelerometer data (ACC).
DOI: 10.17632/s7w5tw5tvp.1
title: Mechanism of Lamellar Body Formation by Lung Surfactant Protein B. Sever et al.
DOI: 10.15468/dl.v33ccy
title: Occurrence Download

description: A dataset containing 3414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamotrygonidae",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen",
 "Continent is South America"
 ]
}

 The dataset includes 3414 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009194-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8j8zgfphtx.1
title: Psychological Impact of Melanoma Study - Supplemental Material

description: Supplemental Methods
The study utilized the TriNetX US Collaborate Network to identify melanoma patients diagnosed between 2009-2019. Propensity matching was performed to create three melanoma cohorts (stages I, II, III/IV) and two control cohorts (basal cell carcinoma, hypertension treated with lisinopril). Patients with pre-diagnosis psychological outcomes were excluded.

Supplemental Table
Outcome measures included risk ratios for anxiety, depression, and antidepressant prescriptions at 3, 12, and 36 months post-melanoma diagnosis across melanoma stages, compared to controls.
DOI: 10.17632/6cd9dyd67x.1
title: Matlab codes for the irradiated crystal plasticity theory with the EVPSC method

description: Matlab codes for the irradiated crystal plasticity theory with the EVPSC method
DOI: 10.17632/bnbbcdsf4m.1
title: RevBangla: Bangla Product Sentiment Analysis Dataset

description: The Bangla Product Comments Dataset is a comprehensive collection of product reviews gathered from diverse ecommerce platforms in Bangladesh. This dataset offers a rich source of information reflecting customer opinions and sentiments towards various products available online. This dataset holds significant value for businesses, researchers, and data scientists interested in understanding consumer behavior, product perception, and sentiment analysis within the Bangladeshi ecommerce landscape. By leveraging this dataset, stakeholders can derive actionable insights to enhance product quality, marketing strategies, and overall customer satisfaction. 

Columns:

1. Product_ID: A unique identifier for each product, facilitating organization and referencing.
2. Date: The date when the comment was posted, providing temporal context for analysis.
3. Customer Name: The name or identifier of the customer who submitted the comment, ensuring traceability and potential user segmentation.
4. Rating: A numerical representation (typically on a scale of 1 to 5) reflecting the customer's overall satisfaction level with the product.
5. Label Sentiment: A categorical label assigned to each comment indicating the sentiment expressed by the customer (e.g., positive, negative). This classification facilitates sentiment analysis tasks.
6. Comment: The actual text of the customer's review or comment, conveying specific opinions, feedback, or experiences regarding the product.
DOI: 10.17632/5txdfwdypb.2
title: HRSBallast: A collection of high-resolution, scanned railway ballast samples

description: HRSBallast is a collection of high-resolution, scanned railway ballast samples obtained from both a field installation and from a local quarry. The samples represent a variety of geometric properties, particularly the extend of rounding owing to in-service conditions experienced and as a function of the track performance. HRSBallast serves as a reference dataset for granular media (GM) simulations utilizing DEM (discrete element method), degradation or wear modelling, digital assets for the creation of synthetic datasets for deep learning applications, embedded railway instrumentation and video games requiring high resolution geometry. The 108 digitized samples are provided in an STL (stereolithography) file format. Both the original resolution files are provided (HighRes.zip) alongside a decimated collection consisting of 1% of the number of points of the high resolution collection (LowRes.zip). 45 of the 108 scans samples represent the ballast samples collected from the field installation (15 samples each from three location). Each of the locations provided either angular, semi-angular of rounded ballast samples. These files are denoted as FA0-FA9 (field samples, angular), FB0-FB9 (field sample, semi-angular) and FC0-FC9 (field sample, rounded). The remaining 63 samples were collected from the fresh ballast samples. Three experiments consisting of 10 samples each were carried out that produced these digital models: + fresh ballast (M00-M09) subjected to 100,000 load cycles in the small-scale box test, scanned again after the test (M10-M19), + fresh ballast placed in a concrete mixer for 15 minutes (M0A-M0J) and subjected to 100,000 load cycles in the small-scale box test, scanned again after the test (M1A-M1J), and + fresh ballast placed in a concrete mixer for 30 minutes (M0K-M0T) and subjected to 100,000 load cycles in the small-scale box test, scanned again after the test (M1K-M1T). Note: an additional 3 files were created from ballast samples that fractured during testing. The mass, volume, surface area and vertex count of each is provided in the spreadsheet / CSV file together with the samples identification number (Ballast_properties.xlsx). A high-resolution photograph of each sample is provided (SamplePhotos.zip). List of files + Ballast_Properties.csv - 6 kb + Ballast_Properties.xlsx - 22 kb + HighRes.zip - 6.8 Gb + LowRes.zip - 66 Mb + SamplePhotos.zip - 320 Mb + scanning_process.MOV - 19 Mb
DOI: 10.17632/h2269chrrs
title: Successful Treatment of Recalcitrant Hailey-Hailey Disease with Dupilumab

description: Tables and Figures that aid in presenting our findings.
DOI: 10.17632/bkxj8z84m9.1
title: Tank Detection-Count Dataset

description: Tank Detection and Count Dataset contains 760 satellite image tiles of size 512*512 pixels and one-pixel cover 30cm*30cm at ground level. Each tile is associated with .xml and .txt files. Both .xml and .txt file contains the same annotations of oil/gas tanks but in a different format. .xml contains the pascal VOC format and in .txt file, every line contains the class of the tank and four coordinates of the bounding box: xmin, ymin, xmax, ymax.
DOI: 10.17632/y6zyrnxbfm.4
title: Dataset of Stagnant Water and Wet Surface with Annotations

description: Stagnant Water detection is a very challenging task due to mudding or reflection of surrounding . Therefore, to increase the accuracy of stagnant water detection by avoiding misclassification; additional images of wet surface are added. With this objective, we have created a dataset of 1976 images with annotations. The dataset consists of RGB labeled images (256 × 256 pixels) for two classes, namely water and wet surface. The images were taken from the top view and side view with varying daylight conditions.  The rear camera of a mobile phone is used to capture images. The annotations are in the YOLO (You Only Look Once) format.
DOI: 10.15468/dl.jcdybb
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus canariensis C.Sm.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 217 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009195-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.