cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/k8jgp9x9fr
title: Do Environmental Accounting and the Performance of the Banks Contribute to the Value of the Islamic Banks?

description: Purpose: This research aims to explore the factors influencing the sustainable enhancement of Islamic banking value, focusing on Islamic bank performance as a mediator and environmental disclosure as a moderator. It seeks to provide insights into sustainable financial practices aligned with Islamic Shariah values.
Design/Methodology/Approach: The study employs a quantitative approach using Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze data collected from three Islamic commercial banks listed on the Indonesia Stock Exchange over a four-year period (2019-2022). The research investigates the relationships between Islamic intellectual capital (IIC), Islamic corporate governance (ICG), Islamic Maqashid Index (IMI), Islamic bank performance (PIB), environmental disclosure (ED), and the value of Islamic banks (VIB).
Findings: The results indicate that Islamic intellectual capital and Islamic corporate governance have a negative impact on Islamic bank performance. Furthermore, Islamic Maqashid Index does not significantly influence the value of Islamic banks. However, Islamic bank performance positively affects the value of Islamic banks. Additionally, environmental disclosure moderates the relationship between Islamic bank performance and the value of Islamic banks positively.
Research Limitations/Implications: The study is limited to a specific sample of Islamic commercial banks in Indonesia and a four-year period. Future research could expand the sample size and duration to enhance the generalizability of the findings. Additionally, qualitative research methods could provide deeper insights into stakeholders' perspectives on environmental disclosure and its impact on Islamic banking value.
Practical Implications: The findings suggest that Islamic banks should focus on improving their performance to enhance their value. Moreover, incorporating environmental responsibility into their operations can further bolster their legitimacy and stakeholder trust, ultimately contributing to sustainable financial practices.
Originality/Value: This research contributes to the literature by examining the complex relationships between Islamic intellectual capital, corporate governance, Maqashid Sharia, bank performance, environmental disclosure, and bank value in the context of Islamic banking. It sheds light on sustainable financial practices aligned with Islamic values and provides practical insights for stakeholders in the Islamic banking industry.
DOI: 10.17632/ykh4bnd4zp
title: Landslides in Greenland from ArcticDEM time series analysis

description: Polygons of Greenland landslides mapped from ArcticDEM time series. These data are the results in a paper entitled "Landslides in Greenland from ArcticDEM time series analysis".

Format: ESRI Shapefile (Polygons)
Projection: EPSG:4326 (Lat/Lon WGS84)

GreenlandLandslides.shp: SHAPE_AREA (m^2), zone (scar or deposits), latitude, longitude, volume change (m^3), volume change uncertainties (m^3), file (the corresponding elevation change files).

landslidetif_greenland: contains the surface elevation change files for each landslide.
givensite_listused.txt: a list of ArcticDEM strip file names used for change estimation.
givensite_jump.tif: elevation change in meters.
givensite_jumpfilter1filled.tif: elevation change in meters with holes filled.
givensite_jumpstd.tif: elevation change uncertainty in meters.
givensite_eventtimeT1.tif: date of the closest measurement before detected change. The date format is YYYYMMDD.
givensite_eventtimeT2.tif: date of the closest measurement after change. 
givensite_nov.tif: The number of overlapping DEMs used for each pixel.
givensite_bitmask.tif: Integer flag of whether the estimated change has a high confidence level. 1 is high confidence, and 0 is bad/low confidence.
givensite_curvature.tif: DEM curvature unit-less.

They are Geotiff files, which can be visualized in QGIS (open software). You can also read the files using Matlab code (https://github.com/ihowat/setsm_postprocessing/blob/master/readGeotiff.m).
DOI: 10.17632/4wgxbtx9gr
title: The socio demographic characteristics of selected farmers in Datu Odin Sinsuat, Maguindanao del Norte

description: The global COVID-19 pandemic leads to the fatal economic condition of Asian countries and brings miserable situations to rural farmers. According to Awad and Konn (2020), this pandemic greatly hits the developing countries and creates an economic slowdown in industry and agricultural sectors. It could be seen in the native place of Maguindanao province where most farmers faced challenges with their farming activities amidst pandemic. Some of these are the loss of marketable disposal of their harvest due to travel restrictions, low price of output, lacking of laborers, and etc. Despite massive program against corona virus disease, public sectors could not figure out those impacts associated with high rate of poverty observed within marginalized farmers and to women. Thus, farmer-producers consistently confront risks along with losing yield and income. 
The study reveals that of all thirteen (13) challenges and risk identified, low yield or harvest was the highest factor neither felt or unfelt by the farmers (ẋ=3.12), followed by dropping farm gate price(ẋ=3.11), limited funds for buying primary needs(ẋ=3.09), limited access to credit, and low revenue or sales(ẋ=3.06). The least unfelt factor was when they consider of discontinuing farming operation (ẋ=2.09) due to pandemic situation. Moreover, the top three (3) coping mechanism and strategies employed by farmers to recover from production losses were self labored and personalized farming activity (46.7%), followed by access to other type of job (41%), and lastly lessen capital requirement (37.1%) and integrate farming with other commodities, such as vegetables, poultry and livestock (37.1%). The least choice was transferring to other address (6.7%). As to their concerned issues, respondents implied that failure or loss of income was their main concerned during pandemic (77.1%), they were afraid of acquiring low yield which affects their cash operations in their farming business. If they have low yield, then it reflects that they have limited or no sufficient funds to purchase even basic needs (76.2%). And this resulted to the poor family condition (52.4%), which belong to the top three (3) concerns of the farmers. With the results observed, it further elaborates that all challenges, risk, and concerns were directly associated with one scenario. Although in the part of the farmers, merely recognized that it has domino effects, but with the sequence and listed results shown in the study. Its offshoot realized great impact was still felt by small farmers during pandemic outbreak.
DOI: 10.17632/gvr5yw562r
title: Data for: A Compressible Hyper-Viscoelastic Material Constitutive Model for Human Brain Tissue and the Identification of Its Parameters
DOI: 10.6084/m9.figshare.26528026.v1
title: Paleomagnetic data of a continuous 150-kyr record from Lake Chala, eastern equatorial Africa

description: Chala_Inc_fighare.csv contains Inclinations, VGP measured in Lake Chala ICDP cores
DOI: 10.6084/m9.figshare.28296317.v1
title: Johnson et al. (2025) Vegetation Data

description: Plant community composition data from the Central Grasslands Research Extension Center. Briefly, data were collected in 2022 from 12 different pastures, managed with 3 different management practices. 4 pastures were managed with season-long continuous grazing, 4 with patch-burn grazing where a quarter of each pasture was burned each spring, and 4 were managed with a modified twice-over rest-rotational grazing that sought to create landscape level heterogenetiy by altering the grazing intensity within individual paddocks. See "Heterogeneity-based Management Restores Diversity and Alters Vegetation Structure without Decreasing Invasive Grasses in Working Mixed-Grass Prairie" by Duquette et al. (2022) for full description of management practices. Presecribed fires were not conducted the year these data were collected due to a lack of fuel accumulation following a drought the year prior. Each pasture was divided into eight 8-ha sub-patches. Within each sub-patch one 60m permanent transect was established, and sampled every other meter using a 1 m^2 quadrat. Within a quadrat, all plants were identified to species-level. If a plant could not be identified to species level, it was placed in a morphospecies with other similar species. Species abundances were assessed using modified Daubenmire cover classes, converted to midpoints, and then relativized. Litter Depth, cover, and thatch depth were also recorded at each sample point (see "Fire and Grazing Reduce Invasive Grass Thatch in Rangelands" by Kjaer et al. (2024). Data were collected by a team of technicians and graduate students who were all trained in plant identification and cover estimates prior to data collection, cover estimates were standardized between observers prior to each bout of data collection.
DOI: 10.17632/p8kzngx3yk
title: Model for "Endothelial cells signaling and patterning under hypoxia: a mechanistic integrative computational model including the Notch-Dll4 pathway"

description: The attached file allows model initialization and simulation in Simbiology and sbml format for the model described in Endothelial Cell Signaling and Patterning under hypoxia: a mechanistic integrative computational model including the Notch-Dll4 pathway.
DOI: 10.17632/tc9zv2wf2k
title: Saraiki Language Character Dataset

description: Over 26 million people speak Saraiki worldwide, with a concentration in South Punjab and a few districts in Sindh. Calligraphers write Saraiki in an extremely complex manner. For the most part, most languages in the world have highly developed optical character recognition systems; however, Saraiki does not. In order to construct a sophisticated optical character recognition system, Saraiki is still in need of researchers. This dataset is made up of over 50,000 scanned images of Saraiki language characters. These are gathered from professors and students at Pak-Austria Fachhochschule: Institute of Applied Science and Technology (PAF-IAST). The dataset is open for use in academic research.
DOI: 10.17632/9kfhgbf58x
title: Alien Plant Species Accumulation 2024

description: Data used for the research article "Ninety years of alien plant species accumulation across regional and local scales in central European fields"
DOI: 10.17632/skw5t7tsmt
title: TimeSeriesStreaming.vi: LabVIEW program for reliable data streaming of large analog time series

description: Abstract With modern data acquisition devices that work fast and very precise, scientists often face the task of dealing with huge amounts of data. These need to be rapidly processed and stored onto a hard disk. We present a LabVIEW program which reliably streams analog time series of MHz sampling. Its run time has virtually no limitation. We explicitly show how to use the program to extract time series from two experiments: For a photodiode detection system that tracks the position of an optically tr... Title of program: TimeSeriesStreaming.VI Catalogue Id: AEHT_v1_0 Nature of problem For numerous scientific and engineering applications, it is highly desirable to have an efficient, reliable, and flexible program to perform data streaming of time series sampled with high frequencies and possibly for long time intervals. This type of data acquisition often produces very large amounts of data not easily streamed onto a computer hard disk using standard methods. Versions of this program held in the CPC repository in Mendeley Data AEHT_v1_0; TimeSeriesStreaming.VI; 10.1016/j.cpc.2010.10.019 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/vc5tv49rdf
title: Asymmetric expression of the long noncoding RNA LincGET biases cell fate in 2-cell mouse embryos

description: The original pictures for the article in https://www.cell.com/cell/fulltext/S0092-8674(18)31564-2?from=timeline&isappinstalled=0
DOI: 10.17632/4cncz8dk9f
title: COVID-19 and financial markets tweets dataset

description: From January 21 to June 9, 2020, approximately 3.7 million tweets in English containing related keywords regarding the COVID-19 pandemic, such as “coronavirus,” “COVID-19,” “corona,” “social distancing,” and “quarantine,” were collected. Using other sets of keywords related to traditional finance and cryptocurrency markets, we refiltered the tweets to identify the joint discourse of traditional financial or cryptocurrency markets and COVID-19 topics. Three specific datasets were constructed: tweets regarding COVID-19 in general (from January to June 2020), tweets regarding COVID-19 and financial information, and tweets regarding COVID-19 and cryptocurrency information.
DOI: 10.17632/98m45vcfp2
title: Ixodes ricinus updated locations

description: Dataset of updated coordinates for Ixodes ricinus in Europe.
A dataset containing unthinned locations
Another dataset containing 20 km thinned locations with spThin package in R software
DOI: 10.17632/mhxvc5ndzm
title: Flow data for "Resilient anatomy and local microplasticity of naïve and stress hematopoiesis "_1

description: Flow data for "Resilient anatomy and local microplasticity of naïve and stress hematopoiesis "_1
DOI: 10.17632/msf535bcyc
title: Data for: Distinguishing cyanobacteria from algae in optically complex inland waters using a radiative transfer inversion algorithm

description: Ecolight-input-combined.xls Input for ecolight-s runs - biogeophysical and atmospheric parameters used for inversion algorithm and forward modelling. Biogeophysical parameters: Chla=chlorophyll conc mg/m3, PC = phycocyanin (mg/m3), TSS=suspended solids (g/m3), ISS=inorganic solids (g/m3), ag440=absorption by gelbstoff at 440nm(1/m),ap440=absorption by particulate matter at 440 nm (1/m), adp440=absorption by depigmentede matter at 440 nm(1/m), S = slope coefficient, Zsd = sechi disk depth (m). Atmospheric parameters: J = julian day, Lat & Lon = Latitude &longitude, GMT=greenwhich meridian time, Theta=solar zenith in degrees, pres=atm. pressure in inches mercury, am=air mass type, rh=rel humidity, wv=precipitable water vapour in cm, wsm = 24 hour mean sind speed (m/s), ws = wind speed (m/s), vis=visibility in km, ro3=ozone in Dobson units, AOT550 is aerosol optical thickness at 550 nm, cloud=cloud from 0-1, Wind dir in degrees (0 = N). Rrs_combined.xlsx Remote sensing reflectance measured using ASD Fieldspec 3 and methods of Meuller 2003 (Ocean optics protocols). Column headers correspond to sample numbers. First column is wavelength 350 to 999 nm. Data corresponds to Ecolight_inputs_combined.xls. Further details contained in files.
DOI: 10.17632/k63rn3hm6y
title: Methods for detecting heat stress in hutch-housed dairy calves in a continental climate

description: Heat stress indicators can be classified as animal-based or environmental with optimal indicators depending on the climate of interest . It is unknown whether previously established heat stress thresholds and THI equations translate well for calves in a continental climate or in individual housing situations. The objective of the present study was to establish associations between, and thresholds for, environmental and animal-based indicators of heat stress in Holstein dairy calves individually hutch-raised across a continental climate summer. A secondary objective was to determine the optimal THI equation for use in dairy calves in a continental climate. These objectives were accomplished through assessing correlations between dairy calf animal-based (i.e., RR, RT, and ST) and environmental indicators (i.e., dry bulb and black globe temperature, air speed, RH, and multiple THI equations), equating goodness of fit, and establishing environmental breakpoints at which physiological variables. In this study we hypothesized that animal-based indicators, particularly Skin Temperature, would be strongly correlated to dry bulb Temperature and Temperature Humidity Index, and that environmental breakpoints would be higher than those previously established for subtropical, group-housed Holstein dairy calves due to the greater temporal variation in ambient environment.
DOI: 10.17632/vxvc9r7cpr
title: Dataset Tourism SDGs South Sumatra

description: This dataset is used for the purpose of further research on tourism developments that are juxtaposed with the objectives of the Sustainable Development Goals with the structure of the Electronic-Based Government System Architecture (SPBE) in Indonesia.
DOI: 10.17632/9g78c5hbww
title: Data in Brief 

description: Data in Brief - Survey form for pairwise comparison
DOI: 10.17632/zmh93bf8g6
title: Data for: "Music Literacy shapes the Specialization of a Right-hemispheric Word Reading area, beyond VWFA"

description: This study investigates the neural mechanisms underlying word reading in professional musicians compared to musically naïve individuals (control group), focusing on the N170 component of ERPs dedicated to orthographic processing. The application of standardized weighted low-resolution electromagnetic tomography (swLORETA) to individual data contributes to the innovative nature of this project. The results showed that musicians showed a bilateral activation of the Visual Word Form Area (VWFA, BA37) in contrast to controls who showed a clearly left lateralized activation of the middle occipital gyrus (MOG, BA19). Musicians also showed enhanced reading skills compared to controls. It is thought that musicians develop this extra reading region to read the spatial and holistic aspects of musical notation. 
ERPs were recorded in 80 participants (men and women, musicians and non-musicians).
The study involved the visual presentation of 300 Italian words of different length and complexity, presented randomly on a computer screen, as described in detail in the study by Proverbio et al. (2013). The words, written in upper case, ranged from 4 to 10 letters. A recognition task was performed in which participants had to press a key when they saw a specific target letter within a word, depending on the experimental condition, while ignoring non-target letters. Words lasted 1,600 ms, and the interstimulus interval (ISI) was randomly varied between 1,000 and 1,200 ms. ERPs were averaged from -100 to 1200 ms. The N170 component was quantified between 150-190 ms. swLORETA was applied to N170 responses during word reading in both groups. The full list of dipoles and neuroimaging data is presented here. The data are a compendium to the paper "Music Literacy shapes the Specialization of a Right-hemispheric Word Reading area" and include raw data collected from 2013 to 2023 at the Cognitive Lab ERP of UNIMIB for the "Neuroscience of Music" project. 
Related papers:
Pantaleo MM, Arcuri G, Manfredi M, Proverbio AM. Music literacy improves reading skills via bilateral orthographic development. Sci Rep. 2024 Feb 12;14(1):3506. 
Proverbio AM, Manfredi M, Zani A, Adorni R. Musical expertise affects neural bases of letter recognition. Neuropsychologia. 2013 Feb;51(3):538-49.
DOI: 10.6084/m9.figshare.6832544.v1
title: LANTHANOIDS IN THE METAL-ORGANIC FRAMEWORKS: A NEW CLASS OF POROUS MATERIALS

description: Lanthanoid organic frameworks (LOFs) stand out as an important class of functional materials. The possibility to employ a great range of metals and ligands lead to the formation of varied and highly porous structures, with diverse applications. The presence of lanthanoid ions favours the improvement of the optical, magnetic and redox properties of MOFs. This review aims to demonstrate the state of the art of LOFs, emphasizing the chemical properties of trivalent lanthanoid ions and the carboxylic based-ligands used in their construction, as well as the main characterization methods and outstanding applications as gas storage, permanent magnets, catalysis, luminescence, drug delivery and so on.
DOI: 10.17632/8fknny5s5p
title: Language Resources for Intrinsic Plagiarism Detection in Urdu Language

description: This is a dataset based on the intrinsic plagiarism . To produce a high-quality dataset to train the classification algorithm, we have gathered the Urdu essays and reports from various popular and highly trending websites such as, jang.com, urduessaypoint.blogspot.com, www.dawnnews.tv etc. All the documents gathered from the websites are then compiled in .txt format. More than 2500 plagiarized and non plagiarized documents are created systematically
DOI: 10.17632/sk3n6hpypd
title: Dataset on Enhancing Vocabulary Retention and Pronunciation Accuracy with AI-Driven Animated Characters: A Mixed-Methods Approach

description: This dataset supports the study "Enhancing Vocabulary Retention and Pronunciation Accuracy through Personalized AI-Driven Animated Characters in Language Learning: A Mixed-Methods Approach". It includes quantitative and qualitative data from 150 participants who used the AI-driven character, ABIM, to improve vocabulary retention and pronunciation in Indonesian. The dataset covers metrics on engagement, perceived improvements, ease of use, and participant feedback on usability and challenges. This data is valuable for research on AI in education, language learning, and user experience in digital tools.
DOI: 10.17632/y69xddd26p
title: Microwave Sensing Dataset for Noninvasive Monitoring of  Ventricle Enlargement due to Alzheimer's Disease

description: The research hypothesis for this study was to investigate the potential of microwave imaging using unidirectional antennas for monitoring neurodegenerative diseases, specifically Alzheimer's disease. The data was collected using a wearable device and measurement setup that included five lamb brain phantoms that were designed to mimic the lateral ventricle enlargement due to Alzheimer's disease .The data include both the magnitude and the phase for each of the five phantoms at each discrete frequency.

The most interesting thing about this study is that the data from the microwave imaging with unidirectional antennas was able to accurately show the enlargement of the lateral ventricles and the presence of cerebral spinal fluid in the lamb brain phantoms. This suggests that this method could be used to track neurodegenerative diseases like Alzheimer's.

This data can be interpreted and used by researchers and scientists working on developing novel signal processing and imaging techniques, as well as those interested in validating simulation results. It can also be used to further investigate the potential of microwave imaging for monitoring neurodegenerative diseases.