cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2vtwn578fn
title: Measured dataset for radio map under campus scenario (117mX97m)

description: The radio map, radio environment map (REM), or RSSI map, can visualize the information of invisible electromagnetic spectrum, and is vital for monitoring, management, and security of spectrum
resources in cognitive radio (CR) networks. It is useful for the abnormal spectral activity detection,
radiation source localization, spectrum resource management, etc.

The performance of different REM construction methods should be compared based on the data under realistic scenarios. So we measured the signal strength under campus scenario by a spectrum sensing system. This project includes two datasets as
1) Raw received signal strength: Collecting RSSI data at the sampled positions in the ROI (117mX97m).
2) Constructed REM data: Recovery RSSI data at the unsampled positions and obtain a whole REM

The dataset has been applied and validated in the following references.
[1]. Q. Zhu et al., DEMO Abstract: An UAV-based 3D Spectrum Real-time Mapping System, 2022 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), New York, NY, USA, 2022, pp. 1-2.
[2]. Y. Zhao, et al. Temporal prediction for spectrum environment maps with moving radiation sources, IET Communications, vol. 17, no. 5, pp. 538–548, 2023.
[3] J. Wang, et al., “Sparse Bayesian Learning-Based 3D Radio Environment Map Construction—Sampling Optimization, Scenario-Dependent Dictionary Construction and Sparse Recovery,” IEEE Transactions on Cognitive Communications and Networking, vol.10, pp.80-93, Feb. 2024. 
[4]. J. Wang, ea al. Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing, IEEE Transactions on Wireless Communications, IEEE Transactions on Wireless Communications, 2024, vol.23, no.10, pp.14560-14574, Oct. 2024. 
[5] Yang Huang, et al. Space-Based Electromagnetic Spectrum Sensing and Situation Awareness. Space Sci Technol. 2024;4:0109. DOI:10.34133/space.0109
[6]. Q. Gao, et al. Spatial Sensor Layout Optimization for Radio Environment Map Construction, 2024 IEEE Globecom Workshops, 2024, for publication

More details and instrucitons can be found in the guidemanual_measuredCompus_117m_97m.pdf.
DOI: 10.6084/m9.figshare.1595913.v2
title: Appendix to: Understanding the Dynamics of Test Driven Development

description: A lab package for the studies included in Fucci D. Ph.D. dissertation<em> Understanding the </em>Dynanics<em> of Test-Driven Development </em>
DOI: 10.6084/m9.figshare.27079636.v1
title: Transcriptome data of <i>Glycyrrhiza uralensis</i> （2 month)

description: Transcriptome data of <i>Glycyrrhiza uralensis</i> （2 months old). Shared are RNA sequencing raw data of three organs of <i>Glycyrrhiza uralensis.</i>
DOI: 10.6084/m9.figshare.4892750.v1
title: Latitudinal gradient in insect immunity

description: Among-population differences of two parameters reflecting constitutive immunity – phenoloxidase (PO) and lytic activity – using common garden design on three distantly related moth species represented by populations ranging from northern Finland to Georgia (Caucasus). <br><br>
DOI: 10.6084/m9.figshare.4990982.v1
title: Distribution_and_Drivers_of_Global_Mangrove_Forest_Change_1996-2010

description: This study undertook an analysis of 1168 1<sup>o</sup>x1<sup>o</sup> radar mosaic composite images, combining 1996 JERS-1 and 2007 and 2010 ALOS PALSAR mosaic imagery across the geographical range of mangrove forests. The composite imagery was visually interrogated to determine the location and distribution of changes in extent over the period 1996-2010. In addition, these composites were used to establish the perceived drivers of the change in Land Cover and Land Use Change (LCLUC). Validation of the observed changes and their drivers was undertaken through reference to the dense time-series of Landsat optical imagery and high-resolution imagery via Google Earth.The data for this work was made available for use to the Global Mangrove Watch (GMW), an international coalition conceived through JAXA’s Kyoto & Carbon (K&C) Initiative to demonstrate the potential of time-series Japanese L-band Synthetic Aperture Radar (SAR) for characterising, mapping and monitoring mangroves at regional to global scales.Time-series of JERS-1 imagery from 1996 and ALOS PALSAR imagery data from 2007 and 2010 were compiled, in KML format for Google Earth, to generate temporal colour composite (1996, 2007 and 2010 in Red, Green and Blue bands) tiles measuring 1<sup>o</sup>x1<sup>o</sup> in extent at 25 m pixel resolution. Only the HH polarisation channel was used. The total geographical extent of the colour composite dataset was defined using the mangrove map of Giri et al 2011. The tiles were imported into Google Earth for the visual analysis of change visible as colours in the RGB composite images. Each region was manually interpreted to identify evidence of changes in mangrove extent to a predefined set of categories. These categories were selected using reference to the literature on the causes of mangrove forest loss and expert knowledge. The categories of change identified were: 1) Intact, 2) Prior Disturbance, 3) Erosion, 4) Deposition/Regrowth, 5) Aquaculture/Agriculture, 6) Dieback 7) Logging.
DOI: 10.6084/m9.figshare.7695530.v2
title: raw data_HT properties .xlsx

description: High-temperature properties with different alloying elements in Cr hot-work tool steels
DOI: 10.6084/m9.figshare.9390380.v1
title: Mouse Tail Tendon Fascicle Mechanical Data - Load versus Displacement

description: The mechanical data set contains raw data of fascicle tensile load versus displacement and the diameter (thickness) of the tendon fascicles of wild-type and mimecan knock-out mice.
DOI: 10.11583/dtu.19762507.v2
title: Dataset for: "Shields diagram and the incipient motion of microplastic particles"

description: -''incipientMotion.mat'' is a MATLAB binary workspace file containing the particle dimensions, density, and friction velocities (mean and standard deviation) for the incipient motion of all microplastic particle groups, with their friction velocity data calculated from the related lid velocities. -''incipientMotion.xlsx'' is an Excel worksheet listing the particle number, shape/particle code, material, dimensions, nominal diameter, Corey shape factor, sphericity, density, friction velocities (mean and standard deviation), grain Reynolds number, and critical Shields parameter of all microplastic particle groups. The water density, kinematic viscosity, as well as the median grain size<em> </em>of the bottom sediment are also included. -Example experimental videos for each microplastic particle group are provided with the naming convention "Particle_X(Shape).mp4", where “X” refers to the particle group number and “Shape” is the particle shape (e.g. sphere, circular disk, cube, etc.). Please note that the videos are low-quality when using the preview. For optimal quality, it is suggested to download the videos and play the files directly. <br>
DOI: 10.6084/m9.figshare.15172167.v3
title: Mutation Spectrum Analysis of DMD gene using MLPA method in Indonesian Duchenne and Becker muscular dystrophy patients

description: <b>Background</b>: Duchenne Muscular Dystrophy (DMD) and Becker Muscular Dystrophy (BMD) are allelic disorders caused by mutations in <i>DMD</i> gene. The full mutation spectrum of <i>DMD </i>gene in Indonesian patients is currently unknown. Recently, mutation-specific therapies are being developed, such as exon skipping or stop codon read-through therapy. This study was conducted with the aim of identifying the mutation spectrum of the <i>DMD</i> gene in Indonesia to develop feasible therapeutic applications. <b>Methods</b>: Forty-three male patients with a clinical suspicion of DMD or BMD were enrolled. Multiplex Ligation-Dependent Probe Amplification (MLPA) reaction was performed to screen mutation in the <i>DMD</i> gene. <b>Res</b><b>ults</b>: Out of 43 subjects, deletions accounted for 69.77% (30 cases), while duplications were found in 11.63% (5 cases). Three of the deletion mutations had never been reported before. The remaining 8 patients (18.60%) showed no deletion nor duplication. Out of 31 patients who were genotypically and phenotypically classified as DMD, 26 (60.46%) cases were suitable for exon skipping therapy. <b>Conclusion</b>: This is the first study showing the feasibility of implementing MLPA method in detecting DMD gene mutation in Indonesia. This is also the first study showing the potential application of exon skipping therapy in majority of DMD cases in the country.
DOI: 10.6084/m9.figshare.19638705.v1
title: Supplement, data and code: "Coastal Proximity and Individual Living Standards: Econometric Evidence from Geo-Referenced Household Surveys in Sub-Saharan Africa"

description: This fileset contains the supplement, the data and the replication code for the paper "Coastal Proximity and Individual Living Standards: Econometric Evidence from Geo-Referenced Household Surveys in Sub-Saharan Africa" <br> Abstract: We investigate geo-referenced household-level data consisting of up to 128,609 individuals living in 11,261 localities across 17 coastal sub-Saharan African countries over 20 years. We analyze the relevance of coastal proximity, measured by geographic distance to harbors, as a predictor of individual economic living standards. Our setting allows us to account for country-time fixed effects as well as individual-specific controls. Results reveal that individuals living further away from the coast are significantly poorer measured along an array of welfare indicators. Our findings are robust to the inclusion of other geographic covariates of development such as climate (e.g. temperature, precipitation) or terrain conditions (e.g. ruggedness, land suitability). We also explore mechanisms through which coastal proximity may matter for individual welfare and decompose the estimated effect of coastal proximity via formal mediation analysis. Our results highlight the role of human capital, urbanization as well as infrastructural endowments in explaining within-country differences in individual economic welfare.
DOI: 10.6084/m9.figshare.20579820.v2
title: Knowledge of Biliary Atresia

description: <strong>EARLY DETECTION OF BILIARY ATRESIA IN PRIMARY HEALTH CARE: STILL A PROBLEM</strong>
DOI: 10.6084/m9.figshare.5435950.v1
title: Locality data for Northeastern US hawk moths (Sphingidae), 1900-2012

description: Study Area: Our study area in the northeastern U.S. included the six New England states (Maine, New Hampshire, Vermont, Massachusetts, Rhode Island and Connecticut) plus nearby New York (Long Island and the counties bordering the Hudson River) and northern New Jersey.<br><br>Species: We focused on the 26 species of hawk moths that breed in the study area and feed as adults and therefore are presumed to pollinate plants. <br><br>Methods: We compiled information on species, date collected, locality, county, and collector for our focal species from specimens held at most northeastern U.S. natural history collections known to have significant holdings of hawk moths. We also canvassed the community of academic and private hawk moth collectors to obtain additional records. The Acknowledgments provides a full list of the nine museum and 14 private collections utilized. Due to a preponderance of incomplete data on labels of specimens collected prior to 1900 and incomplete processing and databasing of more recent collections, we restricted the sample to include records from 1900 through 2012.<br><br>Museums consulted: American Museum of Natural History, Cornell University, New York State Museum, Smithsonian, University of Connecticut, University of Maine, University of New Hampshire, University of Vermont, and Yale Peabody Museum of Natural History. <br><br>Private collections consulted: Sam Adams, Joe Garris, Robert Godefroi, Scott Griggs, Warren Kiel, Tony McBride, Tim McCabe, Mark Mello, Michael Sabourin, Ted Sargent, Eric Quinter, Steve Walter, Ben Williams, and Brandon Woo.
DOI: 10.17632/tyghd6gxw2
title: Alphonso Mango Ripening Stage Classification Dataset

description: The dataset consists of images of mangoes that follow the progressive stage of ripening .Three categories are included unripe, ripe and partially ripe stage .The dataset will provide a highly comprehensive representation to capture the texture variations. As a
result, the dataset will be beneficial during the training process compared to datasets collected through a random set at various stages of ripening. Additionally, the datasets provide insights into the natural variation that occurs during mango ripening stages. Each category has 250 images . The total images collected are 750. 

Please cite the following work for dataset usage : 
Prabhu, A., Rani, N. S., & Nandi, C. S. (2024). Towards importance of comprehensive color features analysis using iterative golden ratio proportions for Alphonso mango ripening stage classification by adapting to natural progressive ripening method. Journal of Food Composition and Analysis, 126, 105873.
DOI: 10.17632/y5sxsmp8nx
title: Prevalence and Treatment Patterns of Lichen Planus

description: Supplemental Data for Prevalence and Treatment Patterns of Lichen Planus
DOI: 10.17632/ygmrc3kcrt
title: Wind speed dataset

description: the dataset from the Sotavento wind farm in Galicia, Spain is utilized. The wind farm includes 24 onshore turbines with 17,560 kW capacity. It provides real-time data such as wind direction, speed, and power generated by the turbine.
DOI: 10.6084/m9.figshare.25115786.v2
title: Continuous Flows in Multi-Temporal Mobility Networks: A New Method for Detecting High-order Spatiotemporal Patterns in OD Data

description: The compressed data.zip file contains an example of order OD data generated by taxi operations in Xiamen (using data generated on June 18, 2020 as an example).The zip file code.zip contains a paper under review (" Continuous Flows in Multi-Temporal Mobility Networks: A New Method for Detecting High-Order Spatio Time Patterns in OD Data ").In the compressed code.zip file, the file Extraction_of_STCFs.py is used to extract STCF from multiple csv files containing the order data, and the file Extraction_of_STCFs.py is used to calculate various metrics for STCF and LOOP in the article. The file Frequent_pattern_mining_on_STCFs.py is used to mine frequent patterns from a large number of STCFs.
DOI: 10.17632/3cv2sypkkh
title: A Diverse Image Dataset for Bangladeshi Currency Recognition

description: #Dataset Overview:
A collection of 5073 background-free images of Bangladeshi Taka banknotes in 9 different denominations, intended for machine learning and computer vision research.

#Data Source:
Images collected using various mobile phone cameras and preprocessed using the CamScanner app to remove backgrounds and enhance clarity.

#Applications:
 Automated currency recognition systems
 Research on counterfeit detection
 Financial technology solutions
 Machine learning and computer vision projects

#Dataset Breakdown:
 2 Taka: 445 images
 5 Taka: 660 images
 10 Taka: 419 images
 20 Taka: 480 images
 50 Taka: 416 images
 100 Taka: 565 images
 200 Taka: 423 images
 500 Taka: 1,243 images
 1000 Taka: 422 images
DOI: 10.17632/f6vfr96m2p
title: Dataset for Performance Comparison Oracle, PostgreSQL, and MySQL Database Using JMeter Tools

description: Abstract:
With the continuous increase in data volume, both locally and in the cloud, it is crucial for users of Database Management Systems (DBMS) to consistently monitor system performance and stability. Databases play a key role in enhancing industrial productivity, including in the manufacturing sector. This research was conducted at a Bottled Drinking Water Company (BDWC) utilizing Database Management Systems (DBMS) such as Oracle, MySQL, and PostgreSQL to assess performance. As a representation of Online Transaction Processing (OLTP) in the BDWC industry, 100,000 records were utilized. Performance was evaluated using several test queries with the TPC-C benchmark executed on the three aforementioned DBMS, employing the JMeter tool directly connected to PostgreSQL, MySQL, and Oracle. Five rounds of testing yielded varying results in terms of response time and throughput. From the test results, it can be concluded that MySQL outperforms Oracle and PostgreSQL in terms of response time and throughput. MySQL achieved the best response time of 675/ms and the highest throughput of 0.119 requests/second compared to the test results of Oracle and PostgreSQL databases. Oracle obtained a response time of 5553/ms and a throughput of 0.180 requests/second, while PostgreSQL achieved a response time of 10483/ms and a throughput of 0.086 requests/second.

Description:
To compare the performance of various Database Management Systems (DBMS), five primary tables—customer, salesman, category, qty_product, and product—were used to create a comprehensive test dataset. This data was stored in two main tables, transaction_hdr and transaction_dtl, each containing over 100,000 records. The dataset was utilized to evaluate DBMS performance using tools like JMeter.

Tables Used:
1. Customer: Stores customer information, including ID, name, and contact details.
2. Salesman: Contains data on sales personnel, including ID, name, and contact details.
3. Category_Product: Classifies products by category.
4. Qty_Product: Contains information on product quantities.
5. Product: Details product information, such as ID, name, and price.

These tables populated the transaction_hdr and transaction_dtl tables, with over 100,000 records each. The transaction_hdr table includes transaction headers (ID, date, customer, salesman, total price), while the transaction_dtl table holds transaction details (product ID, name, category, quantity, price). JMeter was used to conduct performance testing on MySQL, Oracle, and PostgreSQL to assess throughput and response time.
DOI: 10.17632/n4p8x4krtd
title: Electron beam Therapy at extended diatances

description: The nominal distance for electron beam treatment is 100cm source to surface distance SSD. However, certain clinical conditions need an extended distance to increase the available irradiated field. the study was performed on an electron beam produced from the Elekta Linear accelerator at four different energies: 6, 8, 10, and 15 MeV, both absolute dose and relative profiles were measured. 1- The absolute dose was measured with Roos Ion Chamber inserted in slap phantom at 100 cm SSD and gradually extended distances (100: 140)cm SSD, then compared to the calculated dose in Elekta Precise treatment planning system. 2- Electron beam fluence was measured with PTW 2D array to get the beam fluence within the irradiated field, evaluate the effect of extension in beam profiles, whether extended distance influence flatness, symmetry, penumbra and how to overcome this effect for suitable coverage when treated at extended distances.
DOI: 10.6084/m9.figshare.12132696.v1
title: <b>An enhanced Standardized Precipitation–Evapotranspiration Index (SPEI) drought-monitoring method integrating land surface characteristics</b>

description: This dataset provides the input data required for the Standardized Precipitation Evapotranspiration Index (SPEI) calculation and the resulted SPEI over multiple time scales (1, 3, 6, 12 months). All meteorological data are on a 0.25 deg grid within the Continental United States (112x232) and spanning the period of 1981-2017 (444 time steps).Input data:Surface characteristics: land cover, LAI, canopy height, roughness related parameters, stomatal resistance, albedoMonthly precipitation (mm/d): taken from PRISM daily precipitation, aggregated from 4km to 0.25 deg.Monthly potential evapotranspiration (mm/d): derived from various PET approaches (as shown in the paper's Fig.5) based on meteorology data and surface vegetation characteristics, aggregated from multiple spatial resolutions to 0.25 deg.Output data: The corresponding SPEI series on 1-, 3-, 6-, and 12-month time scales over CONUS for 1981-2017.<br>
DOI: 10.6084/m9.figshare.26355523.v1
title: Raw data in study of maize chlorophyll content.

description: The raw phenotypic and genotypic data utilized in Genome-Wide Association Studies (GWAS) for Chlorophyll Content in maize.
DOI: 10.6084/m9.figshare.28180430.v2
title: Gene models generated from BRAKER3

description: Gene models estimated by BRAKER3 are included.
DOI: 10.6084/m9.figshare.12014574.v1
title: Investigating pollination strategies in disturbed habitats: the case of the narrow-endemic toadflax Linaria tonzigii (Plantaginaceae) on mountain screes.

description: Raw data concernig the pollination biology and genetic identity of Linaria tonzigii. It includes: Seed number, seed weight and seed viability per breeding treatment; Genetic identity of several DNA regions of Linaria tonzigii, vulgaris and alpina. <br><b>Abstract</b> Plant mating system may reflect an adaptation to a habitat type, with self-pollination being potentially common in unstable and disturbed conditions. We investigated the reproductive ecology of an Alpine, narrow-range toadflax, <i>Linaria tonzigii </i>(Plantaginaceae), occurring in steep and dynamic mountain screes. We explored self-compatibility and spontaneous autogamy, seed viability, daily nectar production, pollinator behaviour and pollen transfer in wild populations, using hand-pollination treatments, quantification of nectar volume, viability Tetrazolium assay, active pollinator sampling and video recordings, and UV-bright dust for pollen substitution. After <i>ex novo</i> sequencing of several genetic regions of <i>L. tonzigii</i>, we performed a multi-marker phylogenetic analysis of 140 <i>Linaria</i> species and tracked the occurrence of the self-compatibility trait. Our results showed that this species is self-compatible, pollinated mostly via spontaneous autogamy and pollinator-mediated geitonogamy, and self-pollinated seeds are as viable as cross-pollinated ones. Selfing could be due to pollinator rarity because, despite the studied species providing a high nectar volume, wild bees, moths and small beetles infrequently visited its flowers in the sparsely vegetated scree slopes. In addition, a preliminary survey showed that genetic diversity is low in the study plant. Moreover, the phylogeny shows that self-compatibility is scattered in the tree, suggesting the adaptive nature of this reproductive system in the genus <i>Linaria</i>. This study contributes to supporting theories that high prevalence of selfing is an adaptation to environments unfavourable to cross-pollination, and particularly where pollinators are rare such as in perturbed, poorly vegetated high-elevation habitats. <br><b>Please cite: Biella et al. - Investigating pollination strategies in disturbed habitats: the case of the narrow-endemic toadflax <i>Linaria tonzigii </i>(Plantaginaceae) on mountain screes. Plant Ecology (2021)</b><br>