cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jfpbwmd5nn
title: Sumber Sirah Nabawiyah

description: ABSTRACT

Sirah means the details of a person's life or the History of a person's life. Ibn Mandzur in the Arabic book Lisanul states that the meaning of as-sirah according to language is habit, path, method and behavior. In general terms, it means the details of a person's life or the history of a person's life. The discussion of Sirah Nabawiyah focuses on the journey and life story of the Prophet Muhammad  in detail. The discussion also emphasizes personal traits, morals and the way he lives his daily life that can be emulated. Meanwhile, history is only discussed about events that are considered important that occurred in the past. The Nabawiyah sirah is sourced only from verses of the Al-quran, the hadith of the prophet, and the history of his companions. Through this paper, we provide reliable sources as references when conveying the Sirah of the Prophet Muhammad SAW.

Keywords: Source, Sirah, Nabawiyah, Al-Quran, Hadith

 

ABSTRAK

Sirah artinya adalah perincian hidup seseorang atau Sejarah hidup seseorang. Ibnu Mandzur dalam kitab Lisanul Arab menyatakan arti as-sirah menurut bahasa adalah kebiasaan, jalan, cara, dan tingkah laku. Menurut istilah umum, artinya adalah perincian hidup seseorang atau sejarah hidup seseorang. Sirah Nabawiyah pembahasannya bertumpu kepada perjalanan dan kisah hidup Nabi Muhammad  secara rinci. Pembahasan juga menekankan sifat pribadi, akhlak serta cara dia menjalani kehidupan sehari yang bisa diteladani. Sedangkan sejarah pembahasannya hanya mengenai peristiwa-peristiwa yang dianggap penting yang terjadi pada masa lampau. Sirah Nabawiyah bersumber hanya dari ayat Al-Quran, hadits nabi, dan riwayat para sahabat dia. Melalui makalah ini menyampaikan sumber-sumber yang dapat dipercaya sebagai rujukan ketika menyampaikan Sirah Nabi Muhammad SAW.

 

Kata kunci: Sumber, Sirah, Nabawiyah, Al-quran, Hadis
DOI: 10.17632/pf2pz4fxj3
title: I2DM: A Monte Carlo framework for ion irradiation on two-dimensional materials

description: Recent years have witnessed a surge of research on the structure, property and performance engineering of two-dimensional (2D) materials by ion irradiation. Compared to the 3D counterparts, 2D systems exhibit drastically different and even counter-intuitive irradiation response, and an atomic insight into the ion bombardment and defect formation is essential. In this work, we develop a theoretical framework I2DM for simulating ion irradiation on two-dimensional (2D) materials using Monte Carlo (MC) algorithm. I2DM can generate incident ions with adjustable ion species, incident energy, ion fluence and incident angle. Based on binary collision approximation (BCA), the primary collisions, cascade collisions and defect recombination during irradiation process are explicitly described. As output, details on the defect type/yield and morphology of irradiated material are provided. We have performed systematic simulations on three typical 2D structures, including graphene, h-BN, and MoS_2 under different ion irradiation conditions, and reveal that the obtained results are in excellent agreement with the available experimental measurements and molecular dynamics data. The developed framework is generally applicable and computationally efficient, highly valuable for understanding the fundamental mechanism of ion irradiation on 2D systems and designing/optimizing low-dimensional structures for nanoelectronics, spintronics, optics, energy storage and environmental protection.
DOI: 10.17632/tjhxm4p6kb
title: Finding higher symmetries of differential equations using the MAPLE package DESOLVII

description: Abstract We present and describe, with illustrative examples, the MAPLE computer algebra package DESOLVII, which is a major upgrade of DESOLV. DESOLVII now includes new routines allowing the determination of higher symmetries (contact and Lie–Bäcklund) for systems of both ordinary and partial differential equations. Title of program: DESOLVII Catalogue Id: ADYZ_v2_0 Nature of problem There are a number of approaches one may use to find solutions to systems of differential equations. These include numerical, perturbative, and algebraic methods. Unfortunately, approximate or numerical solution methods may be inappropriate in many cases or even impossible due to the nature of the system and hence exact methods are important. In their own right, exact solutions are valuable not only as a yardstick for approximate/numerical solutions but also as a means of elucidating the physica ... Versions of this program held in the CPC repository in Mendeley Data ADYZ_v1_0; DESOLV; 10.1016/j.cpc.2007.03.005 ADYZ_v2_0; DESOLVII; 10.1016/j.cpc.2012.01.005 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/wdfkxsnpzc
title: DroneTrafficZA2020: A sample dataset of N4 freeway traffic adjacent to Engineering 4.0 in South Africa

description: Dataset associated with the primary article: Real-time traffic quantization using a mini edge artificial intelligence platform A video sample captured by a DJI Mavic Air on the 28th of July at 11:30 of the N4 freeway located in Pretoria, South Africa, adjacent to the Engineering 4.0 campus. The high-definition video (4K, 29.97fps) is 18 minutes and 45 seconds in length (2020718_Mavic_Air_4K.mp4). The second video is a cropped version (1220x560 px) used for the analysis (20200728_Mavir_Air_Cropped.mp4). The analysis involves: (1) generating a ground truth dataset of every vehicle (either a "car" or "truck") entering the frame; only vehicles travelling West (moving right-to-left) toward Hatfield is considered. The dataset contains both the frame number the vehicle is first observed and its associated class, and (2) automatic object detection and counting of vehicles as processed by OpenDataCam. Both the ground truth (groundTruth.csv) and inference (OpenDataCam.csv) dataset is provided in a CSV file format. The line counter configuration file from OpenDataCam (line_counter_config.json) is provided to aid reproducibility. The Python script (ProcessOpenDataCam.py) to process the data is also provided. OpenDataCam, with the correct threshold settings of the AI network, manages to count vehicles to within a 5% accurarcy. Summary of files: + 2020718_Mavic_Air_4K.mp4 - 4K resolution video file captured by the drone + 20200728_Mavir_Air_Cropped.mp4 - Cropped 4K video centered about the freeway (1220x560 px) + groundTruth.csv - ground truth data of binary vehicle classification + OpenDataCam.csv - vehicle counting and detection output data provided by OpenDataCam + line_counter_config.json - line counter configuration file from OpenDataCam + processOpenDataCam.py - Python script file that processes the CSV files
DOI: 10.6084/m9.figshare.12214349.v1
title: Main manuscript - EEG data: stability right hand

description: EEG data related to "Large EEG amplitude effects are highly similar across Necker cube, smiley, and abstract stimuli". This item represents the data from all participants responding with the right hand the "stability" response. For more information read the manual: https://doi.org/10.6084/m9.figshare.12214199.v1
DOI: 10.17632/ypd87fncjg
title: Dataset_PV_Plant_DIE_UdeC_Chile_2019_to_2023

description: This database contains on-site measurements of meteorological and electrical variables from a 2560W rooftop PV plant located at the University of Concepción’s Engineering Faculty. The data, spanning from March 2019 to March 2023 with 1-minute intervals, was collected and maintained by the university.
DOI: 10.17632/9yj9d4dsnf
title: Data for: 3652350

description: Geospatial_Coordinates.csv [Postal code, latitude & longitude of data points in Toronto] FourSquareCategories.json [Categories and category IDs of FourSquare API] Processed_data_for_analysis.csv [Data file post data preparation and available for analysis]
DOI: 10.17632/cvnfx6ptn6
title: Data for: Fish muscle processing into seafood products drastically reduces fish allergenicity

description: Original files to figures
DOI: 10.25378/janelia.27766281.v1
title: MouseLight Neuron AA1608

description: A vast neural tracing effort by a team of Janelia scientists has upped the number of fully-traced neurons in the mouse brain by a factor of 10. Researchers can now download and browse the data in three dimensions. Inside the mouse brain, individual neurons zigzag across hemispheres, embroider branching patterns and, researchers have now discovered, can even spool out spindly fibers up to 45 centimeters long. Scientists can see and explore these wandering neural traces in 3-D in the most detailed map of mouse brain wiring yet created. The map reconstructs the shape and position of more than 300 of the 70 million neurons in the mouse brain. Previous efforts to trace the path of individual neurons had topped out in the dozens. The selectively-labeled neurons were mapped in an iterative process with two-photon microscopy. The brain is sliced in 200-micron sections and a few dozen neurons are labeled at a time and imaged. Each brain imaged yields about 50 terabytes of data, each containing mapped neurons which can be browsed via the NeuronBrowser application at https://ml-neuronbrowser.janelia.org/. Researchers interested in the complete raw data set should contact Janelia to discuss obtaining it via hardware transfer.
DOI: 10.6084/m9.figshare.14891940.v1
title: Health facilities Africa

description: The resulting health facilities db incorporates (i) Geographic locations of health centres (ii) the estimated electricity access for healthcare facilities, (iii) the estimated power requirements, (iv) the optimized PV and (v) battery size to meet these requirements, and the (vi) costs of the systems to be installed. Also, provides information about health facilities with access or no access to electricity.<br>Contributing institutes:<br>-European Commission Joint Research Centre (JRC), Ispra, Italy -Fondazione Eni Enrico Mattei (FEEM), Milan, Italy -Curtin University, Bentley, Western Australia, Australia <br>
DOI: 10.17632/nhbx9vdt54
title: Data for: A new function-based patent knowledge retrieval computer tool for product innovative design

description: This is a prototype of patent classifier.
DOI: 10.17632/sg337vf6wn
title: MODI-HHDoc: Historical MODI Script Handwritten Document Dataset

description: Around from 12th century MODI script was used to write Indian languages as Marathi, Hindi, and Gujarati etc.  It was used as administrative script from 17th century to mid of 19th century in Maharashtra state (India). At present, MODI script users are diminishing away, and countable persons can understand the MODI script. The preserved archaic historical MODI handwritten documents contained important and rare cultural, historic, and administrative kind of information which is usable in present-days. The significant information related to current era is preserved in the thousands of the archaic handwritten MODI documents at official and public sectors. MODI-HHDoc Dataset is a collection of three thousand three hundred and fifty handwritten ancient MODI document images. This dataset can be used to develop the handwritten ancient MODI document digitization, recognition, transcription, and transliteration system to gain the information written in MODI script. This dataset is collected in such way that the system should be robust enough to adapt all the variations in approach. 

•	In any resultant publications of research that uses the dataset, due credits will be provided to one or more following publications:
	Deshmukh M. S., Patil, M. P., & Kolhe S. R. (2018). A hybrid text line segmentation approach for the ancient handwritten unconstrained freestyle Modi script documents. The Imaging Science Journal, 66(7), 433-442.
	Deshmukh M. S., Patil M. P., & Kolhe S. R. (2017). The divide-and-conquer based algorithm to detect and correct the skew angle in the old age historical handwritten Modi Lipi documents. Int J Comput Sci Appl, 14(2), 47-63.
	Deshmukh M. S., & Kolhe S. R. (2021). A modified approach for the segmentation of unconstrained cursive Modi touching characters cluster. In Recent Trends in Image Processing and Pattern Recognition: Third International Conference, RTIP2R 2020, Aurangabad, India, January 3–4, 2020, Revised Selected Papers, Part I 3 (pp. 431-444). Springer Singapore.
	Deshmukh M. S., Patil M. P., & Kolhe S. R. (2017, September). A dynamic statistical nonparametric cleaning and enhancement system for highly degraded ancient handwritten Modi Lipi documents. In 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1545-1551). IEEE.
	Deshmukh M. S., & Kolhe S. R. (2022). A New Approach for Unified Characters Cluster Segmentation of Ancient Handwritten Modi Documents. In Computer Vision and Robotics: Proceedings of CVR 2021 (pp. 511-526). Singapore: Springer Singapore.
	Deshmukh M. S., & Kolhe S. R. (2021, March). Unsupervised Page Area Detection Approach for the Unconstrained Chronic Handwritten Modi Document Images. In 2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (pp. 130-135). IEEE.

DOI: 10.17632/x7h34tkwcp
title: Edible Oil Seed Dataset

description: Edible Oil Seed Dataset :-
The Oil seed classification plays a critical role in the agricultural and industrial sectors, aiding in quality control, sorting, and automation of processing systems. With the rise of machine learning and deep learning technologies, there is a growing need for high-quality, labeled datasets that can support the development and testing of classification models. This paper introduces the Edible Oil Seed Dataset, a carefully curated collection of 10,111 images across six widely cultivated oil seed types: Black Sesame, Groundnut, Mustard, Soybean, Sunflower, and White Sesame.
Captured using a high-resolution mobile imaging system with burst-shot capabilities, each image has undergone preprocessing steps such as resizing, normalization, and labeling to ensure suitability for machine learning applications. The dataset provides a solid foundation for tasks involving computer vision in agriculture, such as real-time seed sorting, quality assessment, and educational demonstrations of classification algorithms.

Representing six categories:-
1. Black Sesame Seeds - 1850
2. Groundnuts - 3000
3. Mustard Seeds - 1500
4. Soybean Seeds - 1531
5. Sunflower Seeds -1569
6. White Sesame Seeds - 661
Total Images= 10,111

 Device Specifications:-
- Primary Camera: 
 Device Model: Xiaomi Redmi 10C - 50 MP sensor, f/1.8 aperture, 26mm (wide), PDAF 
- Secondary Camera: 
Device Model: Xiaomi Redmi Note 7S - 48 MP sensor, f/1.8 aperture, 1/2.0" sensor size, 0.8µm pixel size, PDAF 
- Features: Dual - LED flash, HDR 
- Modes Used: Burst Shot Mode (capturing 20+ frames for optimal image selection)

This dataset is intended to bridge the gap between theoretical research and real-world application, making it a valuable resource for developers, researchers, and educators aiming to implement or explore seed classification using artificial intelligence techniques. Its versatility supports diverse use cases from research and development to practical deployment in smart agricultural systems.
DOI: 10.17632/ywkpdg58c3
title: Data for: The textual similarity of news content and stock return synchronicity

description: This dataset accompanies the study “The textual similarity of news content and stock return synchronicity”, which investigates how the homogeneity of news narratives across firms relates to the synchronicity of their stock returns. Our research hypothesis posits that higher textual similarity in firm-specific news leads to greater stock return synchronicity, as more uniform information reduces firm-specific variation in investor beliefs and trading behavior.

The data includes firm-level measures of news textual similarity and stock return synchronicity for publicly listed firms, covering the period from 2013 to 2022. Textual similarity is computed using cosine similarity scores derived from TF-IDF representations of firm-specific news articles collected from reputable financial news sources. We preprocess the news content by removing stop words and applying standard tokenization and lemmatization procedures. News articles are grouped by firm and time period, and similarity is measured against a rolling market-wide benchmark. The original news text, stock trade data, and accounting data used in this study are sourced from the China Stock Market and Accounting Research (CSMAR) database, while the textual tone of MD&A is sourced from the Chinese Research Data Services Platform (CNRDS). The news sources include both traditional paper media and internet media. The sample removes records: (i) financial firms, (ii) firms listed for less than one year, and (iii) firms with missing values for control variables. After filtering, our final sample comprises 82,215 observations covering 4,102 firms. 

Stock return synchronicity is quantified using the R² statistic from a market model regression, following established literature, where a higher R² indicates stronger co-movement with the market and weaker firm-specific return variation.

Our data show a robust positive correlation between news similarity and stock return synchronicity, even after controlling for firm fundamentals, media coverage volume, and other confounding factors. This finding suggests that uniform media narratives can reduce the information diversity available to investors, contributing to higher return co-movement.

This dataset includes:
ASVImonthly.dta
base_data.dta
BellWether_Newsprop.dta
DisAcc.dta
isAnnoym.dta
NewsNumlarge8ym.dta
numAholder_yq.dta
ReportSim_ym.dta
Rmkt.dta
sigma_mkt.dta
Stkcd_ym_NewsTone.dta
Topic_wordscomovement.dta
yearMDATone.dta
ymChinaNewsBasedEPU.dta
ymCICSI.dta

The data can be used to explore information diffusion, media effects in financial markets, and the mechanisms behind co-movement in asset prices. Researchers replicating or extending this work can match the firm identifiers and timestamps with other financial databases such as CSMAR or CNRDS.
DOI: 10.6084/m9.figshare.16657057.v1
title: Data-Pearl River Estuary.xlsx

description: In the laboratory, nitrate concentration and its dual isotope composition (δ<sup>15</sup>N-NO<sub>3</sub><sup>-</sup> and δ<sup>18</sup>O-NO<sub>3</sub><sup>-</sup>) were measured to explore the spatial distribution of nitrate sources and its transformations in the water column of PRE and adjacent coastal waters.
DOI: 10.17632/f8nwdjvhpf
title: District heating with complexity: Anticipating unintended consequences in the transition towards a climate-neutral city in the Netherlands

description: This is an accompanying data folder for the paper entitled " District heating with complexity: Anticipating unintended consequences in the transition towards a climate-neutral city in the Netherlands". This data folder includes the data collection and analysis methods that we have used in our research.

Urban heating systems operate in densely populated areas, which gives rise to all kinds of socio-technical interdependencies. Such interdependencies influence pathways towards reaching carbon-neutrality goals, and result in policy resistance. Understanding these influences supports researchers and decision-makers to recognize systemic patterns that affect changes in urban energy systems, for example in terms of policy resistance, bottlenecks and delays during urban transitions. This research investigates the lessons learned from a project conducted in Rotterdam: a high-density city in the Netherlands which is in a unique situation as it is already switching from natural gas to district heating. We use qualitative system dynamics models to recognize indirect consequences from policy interdependencies during Rotterdam’s substitution of natural gas with district heating and understand the relation between more technologically oriented and policy-oriented policies. We use participative modeling techniques to support transition governance in cities. Our findings suggest that, on the one hand, the national and urban strategies in the Netherlands can activate mechanisms that can support cities with district heating systems such as Rotterdam. On the other hand, the same strategies could also lead to a potential rivalry between energy efficiency and energy security policies, which are both crucial goals towards carbon-neutral cities. Participative modelling provides policy makers with an analytical tool to detect systemic dependencies via joint qualitative scenario building, which in turn can be used to prevent competition among different energy policy objectives which may prolong the use of carbon-heavy systems and displace investments from energy efficiency and renewable heating systems.
DOI: 10.17632/krghysr87y
title: Dataset of Symptom Severity Score, Bristol Stool Form Scale, and number of weekly bowel movements for paediatric chronic functional constipation.

description: As part of a pilot randomized controlled trial, the demographic information such as age, sex, type of birth, and type of lactation were collected, as well as Symptom Severity Score and Bristol Stool Form Scale scores, and number of weekly bowel movements at various stages of the treatment. These data were collected over a period of years, with a 5 years difference between the first and last data collection.
DOI: 10.6084/m9.figshare.14680872.v2
title: Dataset of MLP errors for MD17

description: <b>Data sets used to generate learning curves.</b> <br><br>The two data sets contain the prediction errors (root-mean-square errors) obtained with different machine learning potentials (MLPs) for both energy and gradients of all molecules available in the MD17 database. The following MLP models were tested: <i>KRR-CM, KREG, GAP-SOAP, sGDML, ANI, DPMD and PhysNet</i>. A test set with 20000 geometries was randomly selected for each molecular system to evaluate the model's performance.<br><br>See http://mlatom.com/MLPbenchmark1/ for web-version of the database, where you can further analyze it.
DOI: 10.17632/5yd9sdyw5m
title: MEASUREMENT OF HEALTH DIMENSION OF SEX WORKERS’ CHILDREN: A COMPARATIVE ANALYSIS ON THE BASIS OF NORTHERN AND SOUTHERN RED LIGHT AREAS OF WEST BENGAL

description: Sex Workers are part of society but they are totally marginalised by rest of the society. From very ancient time to recent period sex workers and their children face so many problems in their everyday life and live a miserable life. This paper identifies Health as major dimension for development of sex workers’ children. It also identifies and measures some well-defined indicators of Health dimension as a major component of development of sex-workers and their children. This paper constructs a specific measurement of the Health attainment of sex workers’ children. This paper makes a comparative analysis of South Bengal & North Bengal on the basis of achievement in Health dimension of development of sex workers’ children through a primary survey conducted by the author in the year 2021-22. Finally this paper gives some policy suggestions for improvement of health dimension of the sex workers and their children on the basis of the present discussion.
DOI: 10.17632/f5mkvxywnc
title: Drug Release Kinetics Calculations

description: Drug Release Kinetics Calculations
DOI: 10.17632/fznc3j52hp
title: Replication kit for "Demand-and-Supply Imbalance Risk and Long-Term Swap Spreads" (2024) by Samuel G. Hanson, Aytek Malkhozov, Gyuri Venter

description: This is the replication kit for Hanson, Malkhozov, and Venter "Demand-and-Supply Imbalance Risk and Long-Term Swap Spreads". The corresponding author is Samuel Hanson, shanson@hbs.edu.
DOI: 10.17632/x2yd4dt526
title: Code and data used for the JFE article "Disagreement, information quality and asset prices"

description: Matlab code and data used in the paper "Disagreement, information quality and asset prices", as well as instructions for replicating the results.