cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24799527.v1
title: Landcover data

description: For each site, we measured surrounding landcover data at multiple spatial scales using QGIS (v 3.30.3, QGIS Development Team). Landcover data was downloaded from the UKCEH Land Cover Map for 2021 at 10 m x 10 m spatial resolution (Marston et al., 2022). Buffer zones around each site were established at radii of 250 m, 500 m, 750 m, and 1000 m, representing the common dispersal and foraging distances of pollinator groups analysed in this study (Bates et al., 2011).Marston, C., Rowland, C.S., O’Neil, A.W., Morton, R.D. (2022) Land Cover Map 2021 (10m classified pixels, GB). NERC EDS Environmental Information Data Centre.26th July 2023.Bates, A.J., Sadler, J.P., Fairbrass, A.J., Falk, S.J., Hale, J.D. and Matthews, T.J. (2011) Changing bee and hoverfly pollinator assemblages along an urban-rural gradient. <i>PloS one</i>, <b>6</b>, e23459.
DOI: 10.6084/m9.figshare.28874198.v1
title: Supplementary Material for: Long-term trends in the burden of migraine in China: A comprehensive analysis from 1990 to 2021 and projections to 2035

description: Introduction 
Migraine is a widespread neurological disorder that significantly affects quality of life. Yet data on its burden in China remain limited. This study analyzes long-term trends (1990-2021) and projects future patterns.
Methods 
Using Global Burden of Disease (GBD) 2021 database, we examined migraine incidence, prevalence, and disability-adjusted life years (DALYs). Temporal trends were assessed via joinpoint regression, while age-period-cohort (APC) analysis and decomposition analyses identified key influences. Bayesian APC modeling projected future trends through 2035.
Results 
Migraine imposes a substantial health burden in China, with an annual incidence of 13.04 million cases, a prevalence of 184.75 million cases, and 6.98 million DALYs cases. Female is disproportionately affected, with peak prevalence occurs in the 30-49 age group. Individuals born post-1960 show increased susceptibility, like linked to demographic and lifestyle shifts. Population growth is a major driver of rising prevalence, with projections indicating a continued increase through 2035.
Conclusion 
Migraine remains a significant public health concern in China, particularly among women. Targeted prevention, early detection, and intervention strategies are essential to mitigate its growing burden.
DOI: 10.17632/5dbht54kw7
title: Classification of pet dog skin diseases using deep learning with images captured from multispectral imaging device

description: The skin of 95 pet dogs (23 with bacterial dermatosis, 19 with fungal infections, 23 with hypersensitivity allergic dermatosis, and 30 healthy) who visited the hospital with their owner for three types of spontaneously occurring skin diseases were imaged. The skin images of pet dogs were taken after obtaining written consent from dog owner. These image data set was used to build dog skin disease classification model using four convolution neural networks.
DOI: 10.6084/m9.figshare.13182038.v1
title: Supplementary Table S2.1.

description: Associated patient data, molecular typing and antibiotic susceptibility data of all viable Neisseria gonorrhoeae isolates collected from 2003 up to 2018 in Portugal on behalf of the PTGonoNET.MSM – Men who have sex with men; MSMW – Men who have sex with men and women; NUT – Nomenclature of Territorial Units for Statistics; NG-MAST – Neisseria gonorrhoeae Multi-Antigen Sequence Typing; ND – Not determined; PEN – Benzylpenicillin; β-lact – β-lactamase; CRO – Ceftriaxone; CIP – Ciprofloxacin; SPT – Spectinomycin; TET – Tetracycline; CFM – Cefixime; GEN – Gentamicin; AZM – Azithromycin; No MIC – Antibiotic susceptibility was tested by the Breakpoint Method; MIC – Minimum inhibitory concentration; RP – Resistance phenotype. *refers to the reporting Laboratory region. **according to Boiko et al., APMIS. 2019;127(7):503–509 and Brown et al., Sex Transm Dis. 2010;37(3):169-72.
DOI: 10.6084/m9.figshare.22357441.v2
title: Supplementary Table1

description: Information regarding wave buoy data were retrieved from the “INSITU_GLO_WAVE_REP_OBSERVATIONS_013_045” dataset distributed by CMEMS (https://doi.org/10.48670/moi-00022 and https://doi.org/10.17882/70345); the Portuguese Hydrographic Institute (IH, https://www.hidrografico.pt); the EMODnet-Physics portal (https://map.emodnet-physics.eu) with the data originators being the Rijkswaterstaat Ministry of Infrastructure and Water Management and the German Federal Maritime and Hydrographic Agency (BSH); the NOAA’s National Data Buoy Center (NDBC, https://www.ndbc.noaa.gov); the Queensland Government Open Data Portal (https://www.data.qld.gov.au/dataset); the UK’s Centre for Environment Fisheries and Aquaculture Science (CEFAS) WaveNet (https://wavenet.cefas.co.uk/map, © Crown copyright, 2022); the TRANSNET & African Council for Scientific and Industrial Research (http://wavenet.csir.co.za/), collected on behalf of the Transnet National Port Authority (TNPA); the Irish Marine Institute (http://www.marine.ie/Home/site-area/data-services/real-time-observations/wave-buoys); the Italian Data Buoy Network (RON, http://dati.isprambiente.it/id/website/ronRmn).
DOI: 10.17632/6vp4h5yzck
title: A novel combination (“CHAP”) regimen for management of livedoid vasculopathy in 12 patients

description: Figure 1. Representative before (A) and after (B) images of patient 11 three months after initiation of the "CHAP" regimen (and discontinuation of prednisone and sulfasalazine), showing resolution of painful ulcerations and jagged purpuric macules without formation of new lesions.
DOI: 10.6084/m9.figshare.25308991.v1
title: Full Apatite Fission Track Count and Length Data, and Apatite (U-Th)/He Data, and Apatite Data Sample Location Summary Table from "Thomson, S.N., Brandon, M.T., Tomkin, J.H., Reiners, P.W., Vásquez, C. & Wilson, N.J. (2010). Glaciation as a destructive and constructive control on mountain building. <b>Nature</b>, 467, p. 313-317, doi:10.1038/nature09365"

description: Full Apatite Fission Track Count and Length Data and Apatite (U-Th)/He Data, and Apatite Data Sample Location Summary Table from "Thomson, S.N., Brandon, M.T., Tomkin, J.H., Reiners, P.W., Vásquez, C. & Wilson, N.J. (2010). Glaciation as a destructive and constructive control on mountain building. <b>Nature</b>, 467, p. 313-317, doi:10.1038/nature09365"
DOI: 10.6084/m9.figshare.5421655.v1
title: TVBF_both_Trinotate_annotation_report_withUniref90.xls

description: Tetragnatha versicolor venom dimorphism transcriptome annotations, including gene ontologies.
DOI: 10.6084/m9.figshare.7135886.v6
title: Tables 1 and 2, CSF Groups 1 and 2 data.

description: Molecular characterization of viruses associated with encephalitis in São Paulo, Brazil<br>
DOI: 10.15468/dl.u54yqj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia innesi (Fowler, 1934)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.6413 -34.1504,26.9648 -34.0826,26.9648 -25.1504,17.9648 -25.1504,17.9648 -34.1504,26.6413 -34.1504))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013398-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.22083158.v1
title: Game on: Can gamification enhance productivity?

description: Gamification is the application of game mechanics to increase user engagement, participation, and loyalty in a non-gaming event like work.
DOI: 10.6084/m9.figshare.24777084.v6
title: Data Descriptor: EEG and physiological signals dataset from participants during traditional and partially immersive learning experiences in Humanities

description: This collection includes the data recordings from EEG signal of subjects interacting with the Neurohumanities Lab partial-inmersive space at Monterrey, MX, during October 2023 from "Neurohumanties Lab" project.
DOI: 10.6084/m9.figshare.28601363.v1
title: Figure 5

description: Raw dataset
DOI: 10.6084/m9.figshare.28815209.v4
title: Table S1. Summary of sequencing and annotation results

description: This is the summary of sequencing and annotation results of six <i>Salmonella enterica</i> isolates from fresh produce and agricultural environment in South Korea.Basecalling and demultiplexing were performed using Dorado version 0.9.5. The raw sequence data were filtered using Chopper v. 0.9.2 and then assembled <i>de novo</i> using Flye (v. 2.9.5) with the --nano-corr option.
DOI: 10.17632/7pv7yz4mv8
title: Replication files for “Monitoring Banking System Connectedness with Big Data” (with Jose Lopez), Journal of Econometrics

description: Two zip files for the codes needed to replicate the work. The data are not included because they are obtained from Bloomberg under Federal Reserve Bank of San Francisco licence.
DOI: 10.6084/m9.figshare.29002625.v1
title: Datasheet used for study

description: Daily closing prices for green bond, green stocks, and carbon future market, spanning October 14, 2014 to July 30, 2024, were obtained from Bloomberg. The Euro/USD exchange rate is taken from the European Central Bank.
DOI: 10.17632/4wc88th7j8
title: Thermal oxidation of TiZrNbHfTa high entropy alloy at 600 °C 

description: The thermal oxidation behavior of TiZrNbHfTa high entropy alloy with three different microstructures is studied at 600°C, including as-cast, cold-rolled, and rolled&annealed TiZrNbHfTa. The data set provided here corresponds to a paper entitled “Surface hardening of TiZrNbHfTa high entropy alloy via thermal oxidation”, where the data is further interpreted and discussed.
DOI: 10.6084/m9.figshare.23059625.v1
title: models

description: Modles
DOI: 10.6084/m9.figshare.6142322.v1
title: GFF file, CDS and Protein Sequences.rar

description: <b>Genome annotation data of earthworm <i>Eisenia fetida</i></b>
DOI: 10.17632/9zjsskr2mz
title: Supplementary Data for: A Culturally Grounded Fifth-Floor Policy in Jordan

description: Monte Carlo simulation inputs, survey instruments, and aggregated results supporting vertical densification policy analysis in Jordan. Includes protocols for @RISK and SPSS reproducibility.
Keywords: Jordan housing, vertical densification, urban policy, Monte Carlo simulation, survey data
DOI: 10.17632/kshm5564by
title: Octahedral Gold Nanoparticles and Reshaping

description: The data contain SEM/ TEM images and Uv-Vis spectra of octahedral gold nanoparticles and reshaped spheres after treatment of gold nanotriangles with cysteamine.
DOI: 10.6084/m9.figshare.11421759.v4
title: Mua.txt

description: Supplementary Material for the article titled: "Optical characterisation of porcine tissues from various organs in the 650 – 1100 nm range using time-domain diffuse spectroscopy".<br>The broadband (650-1100nm) absorption coefficient spectra of nine different porcine organs were obtained using time-domain diffuse optical spectroscopy. Measurements were performed on three different spatial locations of each organ, the mean value and the standard deviation over the three locations are presented here.
DOI: 10.6084/m9.figshare.19312460.v1
title: Data Sets S1 to S3

description: Data Set S1. Data Sources.Data Set S2. Zircon U-Pb Ages.Data Set S3. Transparent heavy minerals.
DOI: 10.6084/m9.figshare.29133428.v1
title: 10.1371journal.pone.0325294.xlsx

description: <i>Abies sachalinensis</i> naturally growing in heavy metal-rich sedimentary sites exhibits heavy metal tolerance. This file contains results of <i>A. sachalinensis</i> survey at our research field, soil property, and concentrations of elements in <i>A. sachalinensis</i>. In addition, this file shows concentrations of heavy metal detoxicants produced by <i>A. sachalinensis</i>,<i> </i>infection rate of root endophytes, and their siderophore production activities.
DOI: 10.17632/cc6ftgctbd
title: Ectopic expression of DNMT3L in human trophoblast stem cells restores features of the placental methylome

description: This dataset contains the raw western blot data related to the article titled "Ectopic expression of DNMT3L in human trophoblast stem cells restores features of the placental methylome". Specifically, it includes data for the blots shown in Figures 4c, 6d, and Supplementary Figure S6i."
DOI: 10.6084/m9.figshare.25461052.v2
title: Vision to Specification: Automating the Transition from Conceptual Features to Functional Requirements

description: We delve into the potential for automating the drafting of functional requirements from basic conceptual ideas, expressed through tokens and their syntactic roles, aiming to streamline the process of writing and revising SRS. We present EasyFR, an approach designed to distill high-frequency Semantic Role Labeling (SRL) templates from existing public functional requirements statements, recommend suitable templates for specific token-role combinations, and integrate these functions with the powerful ChatGLM-6B open language model to automate the generation of functional requirements drafts.
DOI: 10.6084/m9.figshare.27266262.v1
title: Aspect angle sequences of ballistic conical targets.

description: <b>NOTE: </b>This dataset is part of the project IMD. We highly recommend that you first review the project details to gain a better understanding of the dataset's background.INTROIn this dataset, you can find the aspect angle sequences for four types of ballistic conical targets. The aspect angle is the angle between the radar line of sight (LOS) and the target's body axis. By combining static electric field data with interpolation methods, an approximate radar echo can be obtained. This method has already been applied in numerous related studies, such as:X. Tian, X. Bai, R. Xue, R. Qin and F. Zhou, "Fusion Recognition of Space Targets With Micromotion," in <i>IEEE Transactions on Aerospace and Electronic Systems</i>, vol. 58, no. 4, pp. 3116-3125, Aug. 2022, doi: 10.1109/TAES.2022.3145303.X. Tian, X. Bai and F. Zhou, "Recognition of Micro-Motion Space Targets Based on Attention-Augmented Cross-Modal Feature Fusion Recognition Network," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-9, 2023, Art no. 5104909, doi: 10.1109/TGRS.2023.3275991.Lee J I, Kim N, Min S, et al. Space target classification improvement by generating micro-Doppler signatures considering incident angle[J]. Sensors, 2022, 22(4): 1653.J. Dong, Q. She and F. Hou, "HRPnet: High-Dimensional Feature Mapping for Radar Space Target Recognition," in <i>IEEE Sensors Journal</i>, vol. 24, no. 7, pp. 11743-11758, 1 April1, 2024, doi: 10.1109/JSEN.2024.3361926.In our simulation, we follow basic physical principles to construct a simplified ballistic model, which is therefore not entirely accurate. The core objective of this project is to build a unified dataset to provide a benchmark for related research, rather than achieving precise modeling. HOWTOThe relationship between this data and the final dynamic echo data is well explained in the paper found at this link. The specific simulation methods, including kinematic modeling and dynamic sequence generation codes, can be found in the GitHub repository for now. Once the final proofreading is completed, they will be added under this project. Repository link: https://github.com/NilasZ/MRM.For any questions, feel free to contact us:cherium@outlook.comjianxuan.xu@hdr.mq.edu.au<br><br>
DOI: 10.6084/m9.figshare.27711249.v1
title: Processed Data for 'Exploration of TPU Architectures for the OptimizedTransformer in Drainage Crossing Detection'

description: This dataset is intended for the reproducability of the methods in 'Exploration of TPU Architectures for the Optimized Transformer in Drainage Crossing Detection', along with the provided GitHub repository at https://github.com/SHUs-Lab/BTSD24AN.The dataset consists of 6,012 LiDAR-derived DEM georeferenced rasters in TIF format, each with an 800m x 800m extent and a cell size of 1m x 1m. Elevation data is stored as 32-bit floating point values, indicating meters above sea level, and comes from the USGS 3DEP program.The rasters cover four watersheds in the Continental United States: Sacramento-Stone Corral in California, Vermilion River in Illinois, Maple River in North Dakota, and West Fork Big Blue in Nebraska. Drainage crossings within these watersheds were labeled as centroids, and corresponding rasters containing these centroids were extracted. Bounding boxes of 100m x 100m were defined around these centroids, and the data were converted to the COCO format for use with the DETR model.After filtering out anomalous rasters, 6,007 rasters with 13,141 drainage crossing bounding boxes were used. The Maple River Watershed data was reserved for transfer learning.The directory structure is as follows:<pre>processed_data<br>├── initial_data<br>│   ├── annotations<br>│   ├── test<br>│   ├── train<br>│   └── validate<br>└── transfer_data<br> ├── annotations<br> └── test</pre>
DOI: 10.17632/5zgxtysvyf
title: TDRP-DS instances

description: TDRP-DS definition

We define the truck–drone routing problem with drone swaps (TDRP-DS). The drone swap mode involves a drone launching from a truck with the possibility of being retrieved by any other truck. The customers along the truck routes, termed drone launch/retrieval locations (LRLs), are used as bases from which the trucks can launch or retrieve drones. The TDRP-DS objective is to minimize the variable costs of trucks and drones in use. Solving the TDRP-DS necessitates finding the cost-minimizing cooperative routes given the network and demand of customers with delivery deadline. 
There is one depot and several customers. Each customer has a delivery deadline that corresponds to the latest service-starting time. The customers are classified into two types: truck customer (denoted as TC) and drone customer (denoted as UC). Each TC can only be serviced by a truck, and each UC can only be serviced by a drone. TCs that are serviced by trucks act simultaneously as LRLs. 
Each truck can concurrently carry at most h2 drones. When a truck–drone combination departs from the depot, the truck carries a predetermined number (h1) of drones. All trucks (carrying drones) in use depart from the depot at the same time. Trucks are permitted to wait for retrieved drones at LRLs. A route traveled by one drone can cover exactly one UC. Drones are not allowed to launch directly from the depot; however, drones can fly directly to the depot after the assigned delivery. The capacity, variable cost, and average velocity of each truck are the same. Each drone has a fixed maximum flying time for each launch and a constant velocity. The capacity, and variable cost of each drone are the same. 

i) Referring to the benchmark instances with 100 customers from Solomon (1987), i.e., C101, R101, and RC101, we designed TDRP-DS instances. The depots in the chosen benchmark instances still functioned as depots in the TDRP-DS instances. Let n denote the number of customers included in the TDRP-DS network. The n customers were classified into TCs and. The coordinates of the selected nodes were referenced to calculate the traveling/flying distance of the truck or drone on the arcs, and the Manhattan distances between the nodes were scaled down. The earliest service-starting time of customer time windows and the depot time window were ignored. The latest service-starting time of customer time windows was scaled down to function as the delivery deadline. Each TDRP-DS instance was denoted (C/R/RC)“n”- , where n = 15–30. 
ii) In small-scale instances, the node coordinates were randomly generated. Each small-scale instance was denoted as R“n”- , where n = 6–12, and is 0.1, 0.2, or 0.3. The demand of a TC or UC was a random number in the range (0, QK/2) or (0, QU/2), respectively. The delivery deadlines were randomly generated. Other parameters had the same values as those for the medium-scale instances.
DOI: 10.6084/m9.figshare.22303213.v1
title: MAGs, vOTUs and other related information for cold seep viral evolution

description: If you use the data, please cite: Peng, Y.; Lu, Z.; Pan, D.; Shi, L.-D.; Zhao, Z.; Liu, Q.; Zhang, C.; Jia, K.; Li, J.; Hubert, C. R. J.; Dong, X., Viruses in deep-sea cold seep sediments harbor diverse survival mechanisms and remain genetically conserved within species. <em>bioRxiv </em><strong>2023</strong>, 2023.03.12.532262.
DOI: 10.6084/m9.figshare.26299714.v1
title: Yolo model results

description: Results and specific evaluation metrics of YOLOv5 models (before the post-processing).
DOI: 10.6084/m9.figshare.6895424.v1
title: Supplementary Material for: Validation of a Wearable Sensor for Measuring Running Biomechanics

description: <b><i>Background:</i></b> Running biomechanics have traditionally been analyzed in laboratory settings, but this may not reflect natural running gait. Wearable sensors may offer an alternative. <b><i>Methods:</i></b> A concurrent validation study to determine agreement between the RunScribe<sup>TM</sup> wearable sensor (triaxial accelerometer and gyroscope) and the 3D motion capture system was conducted. Twelve injury-free participants (6 males, 6 females; age = 23.1 ± 5.5 years, weekly mileage = 16.1 ± 9.3) ran 1.5 miles on a treadmill. Ten consecutive strides from each limb were collected, and the mean values were analyzed. Pronation excursion, maximum pronation velocity, contact time, and cycle time were compared between measurement platforms using intraclass correlation coefficients (ICC) and Bland-Altman analyses. <b><i>Results:</i></b> Excellent ICC estimates were found for maximum pronation velocity, contact time, and cycle time. Pronation excursion demonstrated fair ICC estimates. The mean differences between platforms were small with limits of agreement clustered around zero, except for contact time measures which were consistently higher with the RunScribe compared to the camera-based system. <b><i>Conclusion:</i></b> Our study revealed that the RunScribe wearable device showed good to excellent concurrent validity for maximum pronation velocity, contact time, and cycle time; however, direct comparisons or results between the two platforms should not be used.
DOI: 10.17632/pn8rrgfjzb
title: Negative Impacts of ChatGPT on Higher Education: A Critical Review

description: The research "Negative Impacts of ChatGPT in Higher Education: A Critical Review" addresses the challenges brought by the use of artificial intelligence such as ChatGPT in the educational context, focusing on student dependence, superficiality in studies, and increased cases of academic plagiarism. The introduction highlights concerns about technological dependence that can weaken students' critical capacity, leading to superficial learning and plagiarism practices, according to Essel et al. (2023), Valentim and Abreu (2024), and Almeida et al. (2023). The research aims to investigate these negative impacts, filling gaps in the literature and proposing strategies for a more responsible use of technology. The methodology adopted includes a systematic literature review, semi-structured interviews with teachers, and case studies, using content analysis and thematic coding methods. The results indicate that the excessive use of ChatGPT compromises critical skills, promotes superficiality in studies, and facilitates plagiarism. The discussion emphasizes the need for educational policies that integrate AI in an ethical and responsible manner. The conclusion offers guidelines for educators and policymakers to promote the ethical use of ChatGPT in higher education, contributing to the existing literature with valuable guidance. This study contributes significantly to the understanding of the negative impacts of ChatGPT in higher education, proposing strategies that ensure a balance between the benefits and risks associated with the use of this technology.