cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/h8tcn6ykky.1
title: A Litopenaeus vannamei shrimp dataset with images and corresponding weight-size measurements for the development of artificial intelligence-based biomass estimation and organism detection algorithms

description: This dataset was compiled with the ultimate goal of developing non-invasive computer vision algorithms for assessing shrimp biometrics and biomass estimation. The main folder, labeled "DATASET," contains five sub-folders—DB1, DB2, DB3, DB4, and DB5—each filled with images of shrimps. Additionally, each sub-folder is accompanied by an Excel file that includes manually measured data for the shrimps pictured. The files are named respectively: DB1_INDUSTRIAL_FARM_1, DB2_INDUSTRIAL_FARM_2_C1, DB3_INDUSTRIAL_FARM_2_C2, DB4_ACADEMIC_POND_S1, and DB5_ACADEMIC_POND_S2.

Here’s a detailed description of the contents of each sub-folder and its corresponding Excel file:

1) DB1 includes 490 PNG images of 22 shrimps taken from one pond at an industrial farm. The associated Excel file, DB1_INDUSTRIAL_FARM_1, contains columns for:
SAMPLE: Reflecting the number of individual shrimps (22 entries or rows).
LENGTH (cm): Measuring from the rostrum (near the eyes) to the start of the tail.
WEIGHT (g): Recorded using a scale.
COMPLETE SHRIMP IMAGES: Indicates if at least one full-body image is available (1) or not (0).

2) DB2 consists of 2002 PNG images of 58 shrimps. The Excel file, DB2_INDUSTRIAL_FARM_2_C1, includes:
SAMPLE: Number of shrimps (58 entries or rows).
CEPHALOTHORAX (cm): Width measured at the middle.
LENGTH (cm) and WEIGHT (g): Similar measurements as DB1.
COMPLETE SHRIMP IMAGES: Presence (1) or absence (0) of full-body images.

3) DB3 contains 1719 PNG images of 50 shrimps, with its Excel file, DB3_INDUSTRIAL_FARM_2_C2, documenting:
SAMPLE: Number of shrimps (50 entries or rows).
Measurements and categories identical to DB2.

4) DB4 encompasses 635 PNG images of 20 shrimps, detailed in the Excel file DB4_ACADEMIC_POND_S1. This includes:
SAMPLE: Number of shrimps (20 entries or rows).
CEPHALOTHORAX (cm), LENGTH (cm), WEIGHT (g), and COMPLETE SHRIMP IMAGES: Documented as in other datasets.

5) DB5 includes 661 PNG images of 20 shrimps, with DB5_ACADEMIC_POND_S2 as the corresponding Excel file. The file mirrors the structure and measurements of DB4.

The images for each foler are named "sm_n", where m is the number of shrimp sample and n is the number of picture of that shrimp.
This carefully structured dataset provides comprehensive biometric data on shrimps, facilitating the development of algorithms aimed at non-invasive measurement techniques. This will likely be pivotal in enhancing the precision of biomass estimation in aquaculture farming, utilizing advanced statistical morphology analysis and machine learning techniques.
DOI: 10.17632/8nfzjzx47m.1
title: Remuneration and Federal Inland Revenue Service employees’ performance in Nigeria

description: Study investigated the relationship between employee performance and compensation at Nigeria's Federal Inland Revenue Service (FIRS). The goal of the study was to elucidate how different aspects of compensation (salary, incentives, and perks) impact FIRS employees' motivation, job satisfaction, and overall performance. Study used quantitative approach, using survey data to obtain thorough understanding of the subject. A pool of representative samples of FIRS employees were given copies of a structured questionnaires to complete in order to rate their impressions of salaries, job satisfaction, and performance. Results of this study offer empirical and theoretical proof of connection amid salaries earned and worker performance in Nigeria's FIRS. Higher levels of compensation were expected to favourably impact motivation, work satisfaction, and performance. These levels of compensation include competitive salaries, performance-based bonuses, and alluring benefit packages. The findings of the study will be relevant for Nigerian policymakers and FIRS administration. The results will guide the creation of evidence-based measures to raise worker productivity through better pay practices. The FIRS and other government organizations can optimize their human resource management procedures and eventually improve revenue generation and service delivery by realizing the importance of compensation in developing a motivated and productive staff.
DOI: 10.17632/549vbnj6gk.1
title: Monetary Stability on Africa Data

description: This data set is compiled from secondary sources including the World Development Indicator database (IMF/WORLD BANK) annual and official Central Bank Data sources data on macro-level data on selected African Countries to examine the the long-run money demand function in search of monetary stability in Africa.
DOI: 10.17632/mkmv4mdxxs.2
title: Dataset for centrifuge modelling of laterally monotone loaded monopiles in saturated dense sand

description: The presented dataset is collected in seven centrifuge tests, specifically designed for modelling the lateral response of offshore monopiles in a dense sand. Two model piles with outer diameter D = 50 mm are loaded laterally at 100×g. The embedding depths are 3D, 5D, 7D and 9D with load eccentricity varies from 5 to 15. Fibre Bragg gratings (FBGs) are employed to measure the tensile and compressive strains. The raw data from various sensors during the tests and the analysed data (e.g. soil reaction, pile deflection) are included in separate editable files, enabling future reuse and further development of the experimental results.
DOI: 10.17632/5dnfmtgbfs.1
title: 2019 Digital Repression Index

description: The data describes global patterns of digital repression for 2019 and incorporates two composite indexes: a latent construct of digital repression, and a latent construct of digital repression capacity. The data includes an interaction for social media penetration for three Digital Society Project variables: government social media monitoring, government dissemination of false information domestic, and party dissemination of false information domestic. Key issued addressed by this data: Which countries are deploying digital repression techniques and how prevalent is their use? What is the relationship between regime type and digital repression? How might we understand the relationship between specific types of repression (violating political liberties, physical violence committed by the state, or curtailing private civil liberties) and digital repression? How does the deployment of individual components of digital repression differ in democracies versus autocracies?
DOI: 10.17632/mwpvsc2p54.1
title: Raw Data for Real-time, In Vivo Skin Cancer Diagnostics by Laser Induced Plasma Spectroscopy Combined with Deep Learning-based Diagnostic Algorithm

description: In this study, we developed a real-time, minimally invasive, in vivo skin cancer diagnostic method utilizing non-discrete molecular Laser Induced Plasma Spectroscopy (LIPS) combined with deep neural network (DNN)-based diagnostic algorithm. LIPS has the capability of minimally invasively extracting biochemical information of skin lesion using an ultra-short pulsed laser. The objective of this in vivo study was to validate the practical applicability of LIPS and DNN-based diagnostic device to discriminate skin cancers including basal cell carcinoma (n=186), squamous cell carcinoma (n=93) and melanoma (n=14) from various benign lesions. In vivo LIPS spectra were acquired from total 293 skin cancers and 332 benign lesions in multi-site clinical study. The raw data of analysed lesions is listed here.
DOI: 10.17632/d3by55pjh7.1
title: Bridge vibration monitoring dataset

description: Vibration tests were conducted on a steel truss bridge using five uniaxial accelerometers under various traffic conditions. The accelerometers used were uniaxial sensors that were connected to a data acquisition system, from which the data was transferred to a computer. Considering the flexibility of this bridge, a sampling frequency of 200Hz was used.
DOI: 10.17632/nfftdyshty.1
title: Hydrologic monitoring data

description: Monitoring of hydraulic parameters within slopes during rainfall events
DOI: 10.17632/4brcwhmvyk.4
title: Metadata for Automated plant species identification from the stomata images using deep neural network

description: Our study has been conducted at the Sundarbans Mangrove Forest and Ratargul Fresh Water Swamp Forest. Both study sites have distinct ecological characteristics. While the Shundarbans Mangrove has a complex network of tidal waterways and is regularly inundated by saline water, the Ratargul is linked with the Gowain River and faces seasonal flooding with the fresh water from the Gowain River during the rainy season, which is generally from May to early October. There is a stomata dataset of 11 species collected from these two study sites: 9 species collected from the Sundarban mangrove forest  and 2 species collected from the Ratargul Swamp Forest in Bangladesh. These are the species worth mentioning in the two forests. Hence, we used this dataset for automated species identification.

Sundarban mangrove species-
1. Aglaia Cucullata 
2. Bruguiera gymnorrhiza 
3. Bruguiera sexangula 
4. Cerbera manghas 
5. Ceriops decandra 
6. Excoecaria agallocha 
7. Heritiera fomes 
8. Sonneratia apetala
9. Xylocarpus moluccensis 

Ratargul swampforest species-

10. Barringtoni aacutangula
11. Pongamia pinnata
For more please read metadata file "Stomata ISO19139 Metadata.xml"
DOI: 10.17632/sb65vytyh6.1
title: Data for: Geochronology, geochemistry and petrogenesis of Late Triassic dolerite associated with Nibao gold deposit, Youjiang Basin, southwestern China: implications for post-collisional magmatism and its relationships with Carlin-like gold mineralization

description: Geochemical data of Nibao dolerite, Youjiang Basin, China
DOI: 10.17632/7mrytjdztj.4
title: AIDIS DATA 1992 2003 2013

description: All India Debt and Investment Survey conducted decennially by NSSO. It is a national level survey that is conducted using two stage sampling. In all covers more than 310,000 households of which more than 180,000 are from rural areas. This is the only comprehensive dataset that examines debt and indebtedness in considerable detail and allows us to paint a national level picture of indebtedness among various sections of the Indian society
DOI: 10.17632/f9c7sg78g3.1
title: Data for: Non-viral Gene Delivery of HIF-1α Promotes Angiogenesis in Human Adipose-Derived Stem Cells

description: Data for: Non-viral Gene Delivery of HIF-1α Promotes Angiogenesis in Human Adipose-Derived Stem Cells
DOI: 10.17632/4g9hjhdvkp.1
title: The implication of usage AI for Learning

description: This is meta data of usage AI for learning that implication to Individual development and individual need
DOI: 10.17632/vhr9j4nfvc.1
title: SPSS business sience data set

description: The data contains three sets of item which reflect the three variabel. It was prepared for the human resource management student, but you can also treat it as a marketing data set.
DOI: 10.17632/8c26dn6c7w.1
title: EEG dataset of Fusion relaxation and concentration moods

description: Aim: This dataset aims to provide open access of raw EEG signal to the general public. We believe that such fusion of human moods (Relaxation & concentration) shall increase scientific transparency and efficiency, promote the validation of published methods, and foster the development of new algorithms. In addition, publishing research data is becoming more important as public funding agencies are moving towards open research data requirements. Scenario: The proposed scenario adapted to acquire the brain EEG signals in two different mental status. First while subjects in a relaxed mood, and second in concentration mood. Both of these cognitive stimuli considers as self-induced motivation. The recording period continues till three minutes for each session, as follows: -In the first minute, the subject is asked to relax and sit on a handed chair with eye open looking at a black screen computer of about 40cm far. Until hearing beep sound. -In the second minute, a random picture appear on the screen contain a question or some different objects. The subject is asked to solve the problem or to find common relation links all these objects together. -In last minute, the subject is asked to close his/her eyes and relax again until the beep sound. Sessions: Fore sessions were recorded for each subject. Such that, first two sessions are done on the same day with 1-2 hours interval, and remaining sessions are done after 2-3 days in the same way. The reason behind this separation is to avoid medium term influences that may subjects have. Each session continues for three minutes. The total recording time for each subject equal to 720 seconds. A small program designed to control the timing and recording procedure of the sessions. Numbering system: The numbering system is formatted to include both subject enrollment number and trials. First four characters represent the subject number, where last three characters represent the session record number. For example (S001E03) indicate 1st subject and 3rd recording session. Artifacts: In this experiment, we notice that some subjects accidentally generated internal artifacts. Therefore we intentionally continue recording their brain signals to provide more realistic condition to the experiment and also provide a role for the artifact removal techniques in the pre-processing phase. Data recording: EEG raw data recorded using EMOTIV EPOC+ device with 14 channels (AF3, F7, F3, FC5, T7, P7, O1, O2, P8, T8, FC6, F4, F8, and AF42), plus References in the CMS/DRL noise cancellation configuration P3/P4 locations. The signals were sampled with 250 SPS. Sample space: The sample space consists of 30 participants (56.6% male and 43.3% female) with ages of 18-40 years. The subjects do not suffer(ing/ed) from any brain problems (mentally or physiologically). 33% of the subjects were smokers and 3% of them were alcoholics. All the subjects are well educated and have at least B.S degree.
DOI: 10.17632/d35ysvzh5m.2
title: Warm versus cold syllabus language

description: Scholars have asserted the importance of syllabi language and tone for college students according to particular learning outcomes (Bain, 2004; Richmond et al., 2016; Sulik & Keys, 2014). Researchers in this quantitative study explored the impact of syllabus tone on master-level counseling students (N = 124). Findings indicate statistically significant differences between students’ reactions to syllabi language, with greater student retention of the content within the warm syllabus condition and more favorable perceptions of the instructor and their grading practices. Implications for graduate-level instructors were identified as a result of this study. Use "syllabustudy" to access the data set.
DOI: 10.17632/mdt8n2xgf4.1
title: Prostate needle biopsies pre- and post-ADT: Count matrices, histological-, and Androgen receptor immunohistochemistry images

description: Unfiltered ST count matrices, spot selection files and transformation matrices, HE-, and Androgen receptor IHC-images, from the article: Marklund M. et al. Spatio-temporal analysis of prostate tumors in situ suggests pre-existence of treatment-resistant clones. Each count matris includes the ST count data from a pre-ADT- and a post-ADT biopsy, and the individual spots per biopsy are selected and saved as spot selection files, each with a corresponding transformation matris.
DOI: 10.17632/4748zmf5t6.2
title: Data for archetype analysis to assess the resilience of countries to rice price spikes

description: The dataset includes data used for the archetype analysis performed to assess the resilience of countries to rice price spikes. The archetype analysis consisted of 2 steps: 
Step 1- Cluster analysis
Step 2- Time series analysis
The dataset contains national data on rice production, consumption, and trade. In particular, data on yield (gap), suitable land for rice production, land area equipped for irrigation, import dependency ratio and rice per capita consumption, GDP per capita and rice production quantity. 
The table describing how data has been processed can be found in the Supplementary material A (Table A.1) of the accompanying article
DOI: 10.17632/52tmwrdrwn.1
title: Characteristics and Treatment Outcomes in Chromhidrosis: A Systematic Review

description: This systematic review aims to identify studies on CH to summarize their characteristics and treatment outcomes.
DOI: 10.17632/pd5dp3phx2.4
title: Extended TAM

description: Dataset on an extended technology acceptance model
DOI: 10.17632/srwv7hcwd5.1
title: Hedtfeld et al., 2024_A validation strategy to assess the role of phase separation as determinant of macromolecular localization

description: Liquid-liquid phase separation (LLPS) of putative assembly scaffolds has been proposed to drive
the biogenesis of membraneless compartments. LLPS scaffolds are usually identified through in
vitro LLPS assays with single macromolecules (homotypic), but the predictive value of these assays
remains poorly characterized. Here, we apply a strategy to evaluate the robustness of homotypic
LLPS assays. When applied to the chromosomal passenger complex (CPC), which undergoes
LLPS in vitro and localizes to centromeres to promote chromosome biorientation, LLPS propensity
in vitro emerged as an unreliable predictor of subcellular localization. In vitro CPC LLPS in aqueous
buffers was enhanced by commonly used crowding agents. Conversely, diluted cytomimetic media
dissolved condensates of the CPC and of several additional proteins. We also show that
centromeres do not seem to nucleate LLPS, nor do they promote local, spatially restrained LLPS
of the CPC. Our strategy can be adapted to purported LLPS scaffolds of other membraneless
compartments.
DOI: 10.17632/dnphv8wjc5.1
title: A gut feeling: Exploring the effects of probiotics on risk-taking behavior using TMS and EEG

description: Data and codes used in the analyses reported in the manuscript "A gut feeling: Exploring the effects of probiotics on risk-taking behavior using TMS and EEG"
DOI: 10.17632/kjwnp3662d.1
title: Phase transformation of schwertmannite changed microbial iron/sulfate-reducing processes in flooded paddy soil

description: Research data include the follows: the XRD of schwertmannite coating on dialysis membrane in soils during the rice growth; concentration of As in rice roots straw and husk and grains; the relative abundance of iron-reducing bacteria and sulfate-reducing bacteria; the relative abundance of Geobacteraceae, dsrB, arsM, arsC, arrA, and aioA in soils; the acid-volatile sulfide (AVS) content in soil; porewater As(III) and Fe2+ concentrations in relation to the stability of FeS and As2S3 (orpiment), and As(III) in relation to the solubility of amorphous As2S3; the pH in rhizosphere and bulk soils; the content of Fe plaque on the surface of rice roots; and the correlation between grain As and Fe plaque, arsM gene and pore water As, and grain DMA and arsM gene.
DOI: 10.17632/vzps367vnd.1
title: United States Burden of Melanoma and Non-Melanoma Skin Cancer from 1990 to 2019

description: United States Burden of Melanoma and Non-Melanoma Skin Cancer from 1990 to 2019 Supplementary Figures and Tables
DOI: 10.17632/hpdft668v8.1
title: Data for: Modelling of Soil Moisture Retention Curve using Machine Learning Techniques: Neural Networks and Support Vector Regression Models
DOI: 10.17632/4h68fmktwh.1
title: Data for: Context-based information generation from construction site images using unmanned aerial vehicle (UAV)-acquired data and image captioning

description: The dataset consists of 1,431 UAV-acquired construction site images and 8,601 captions describing the regions of the images. It contains five types of text information on construction resources, as well as their identification and position information.
DOI: 10.17632/83tcx8psxv.1
title: Data of Academic Performance evolution for Engineering Students

description: This data article presents data on the results in national assessments for secondary and university education in engineering students. The data contains academic, social, economic information for 12,411 students. The data were obtained by orderly crossing the databases of the Colombian Institute for the Evaluation of Education (ICFES). The data are part of the Master's Degree in Engineering project of the Technological University of Bolívar (UTB) titled Academic Efficiency Analysis in Engineering students. Developed by Professor Enrique De La Hoz and engineer Rohemi Zuluaga.
DOI: 10.17632/8j2g3csprk.2
title: Dataset of Tuberculosis Chest X-rays Images

description: The dataset comprises 2494 chest X-ray images of tuberculosis (TB) patients and 514 normal chest X-ray images, collected from a local hospital in Pakistan. All images have been processed and resized to a uniform dimension to ensure consistency and facilitate further analysis.
DOI: 10.17632/v7wmv9xcct.1
title: freud: A software suite for high throughput analysis of particle simulation data

description: The freud Python package is a library for analyzing simulation data. Written with modern simulation and data analysis workflows in mind, freud provides a Python interface to fast, parallelized C++ routines that run efficiently on laptops, workstations, and supercomputing clusters. The package provides the core tools for finding particle neighbors in periodic systems, and offers a uniform API to a wide variety of methods implemented using these tools. As such, freud users can access standard methods such as the radial distribution function as well as newer, more specialized methods such as the potential of mean force and torque and local crystal environment analysis with equal ease. Rather than providing its own trajectory data structure, freud operates either directly on NumPy arrays or on trajectory data structures provided by other Python packages. This design allows freud to transparently interface with many trajectory file formats by leveraging the file parsing abilities of other trajectory management tools. By remaining agnostic to its data source, freud is suitable for analyzing any particle simulation, regardless of the original data representation or simulation method. When used for on-the-fly analysis in conjunction with scriptable simulation software such as HOOMD-blue, freud enables smart simulations that adapt to the current state of the system, allowing users to study phenomena such as nucleation and growth.
DOI: 10.17632/3kndp5vs6b.3
title: Ar-DAD: Arabic Diversified Audio Dataset

description: This is the only available audio library covering this large number of reciters and verses in one harmonized structure that can be used by concerned researchers in different directions. The audio files are organized into two main datasets. Reciters are put into 37 folders created per chapter (78- 114), within each chapter, subfolders are created as per the verse number, within each verse folder, the audio clips are enumerated into 30 different reciters. The second subset includes only one folder of audio clips for imitators categorized by an anonymous ID. The data is shared as WAV format for the audio clips with maximum quality as recorded and disseminated over the internet, no enhancement of any kind is applied after scraping. In this version of the dataset (V3), a third data folder is added for the textual materials of all verses as plain text files; with and without vocalization\vowelization (تشكيل __ Tashkeel).
DOI: 10.17632/8rcsspgxnt.1
title: Consumer Decision Making Data

description: This data was collected through more than 3000 students across Indian universities. I have utilized this data set for my study based on Emotional Intelligence and Consumer Decision Making. It also covers Cognition and Emotions facial expression Data. This data set can be used for the purpose of studying human behaviour related to ecommerce or online shopping. The context of the study was online shopping s. The data was collected online and by face to face interaction. It took 1.5 year to collect the data. I am making this data openly available.