cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/w2dzy4r6vb
title: Agricultural Drought in the Vietnamese Central Highlands at 1-km Resolution: Monthly and Annual Datasets

description: The iMDI synthesizes the moisture deficits, soil thermal stress, and vegetation growth status in drought processes and makes it favorable for comprehensive agricultural drought monitoring. The combination of three proposed indices (i.e., VCI, TCI, and ESI) provides more accurate and comprehensive information on drought severity in connection to local conditions. The feasibility of the iMDI is also proved in the correlation with ground-based drought data in the study area. At present, the products include monthly and annual per-pixel drought with 1 km spatial resolution, covering the period of 2001–2020. The data are provided as a global mosaic in geographic lat/long projection in GeoTIFF file format. There are two types of data, such as raw files and legend files, that users can use for their studies. The raw data showed the original values for each pixel, which can be used with different models or algorithms. The legend files showed the different types of drought classification that can be used for attribute analysis: 1-extreme drought, 2-severe drought, 3-moderate drought, 4-near drought, and 5-no drought. Also, the VCI, TCI, and ESI datasets are included so that users can use them for their own needs, even though these datasets can be obtained directly from GEE or other sources. 
For more details on the computation and application of the iMDI, please see: Tran, T. V., Bruce, D., Huang, C. Y., Tran, D. X., Myint, S. W., & Nguyen, D. B. (2023). Decadal assessment of agricultural drought in the context of land use land cover change using MODIS multivariate spectral index time-series data. GIScience & Remote Sensing, 60(1), 2163070. https://doi.org/10.1080/15481603.2022.2163070.
DOI: 10.6084/m9.figshare.21932334.v1
title: Data and R code from the paper "CHARACTERISATION OF A NEW LIGHTWEIGHT LORAWAN GPS BIO-LOGGER AND DEPLOYMENT ON GRIFFON VULTURES GYPS FULVUS"

description: Data and R code from Data and R code from the paper "CHARACTERISATION OF A NEW LIGHTWEIGHT LORAWAN GPS BIO-LOGGER AND DEPLOYMENT ON GRIFFON VULTURES GYPS FULVUS" submitted to the Journal of Animal Biotelemetry for publication. <br> Contains a preliminary data set of VGriffon Vulture tracking collected using a new type of GPS-LoRa tracking device. <br> the excel file was provided by the tag manufacturer to help inform battery and solar panel requirements for different tag deployments and configurations.
DOI: 10.6084/m9.figshare.25477654.v1
title: Data matrix used in this meta-analysis

description: Data matrix used in this meta-analysis.
DOI: 10.6084/m9.figshare.1415735.v1
title: S2 Table. PLFA determination of microbial community composition (10 years stand soil)

description: PLFA determination of microbial community composition (10 years stand soil)
DOI: 10.17632/2y6c5nfzsj
title: Journal of Iran's Economic Essays; "Jostarhaye Eghtesadiye Iran; No. 24

description: Journal of Economic Essays; an Islamic approach (JEE) is an open-access double-blind peer-reviewed academic quarterly journal that publishes original research, written with an Islamic approach in various Economic areas including Islamic economics and finance, Iran's economy, Fiqh (Islamic jurisprudence) and economics, philosophy of economics, economic theory, ethics and business, Islamic banking, economic development, and social security institution in Islam. JEE especially welcomes comparative articles that study the western and Muslim scholars' viewpoints about important economic issues to find the best answer to theoretical and applied questions and also to explore their differences and similarities with the aim of bringing them closer to each other. This journal accepts analytical articles that reread Muslim scholars' ideas according to new approaches in economics, moral philosophy, Islamic banking and finance, social security, econometrics, and Islamic economic institutions. Therefore, it aims to serve the interests of a wide range of thoughtful and academic readers, economists, philosophers, theologians, banking and finance experts and others interested in the multidisciplinary study of economics and Islam (including Fiqh "Islamic jurisprudence"). We hope that this publication creates an atmosphere of constructive dialogue on different economic topics between national and international scholars by which it could have a role in the growth of Islamic economic thought in Iran. In addition, Islamic solutions to the economic problems of Iran and the world will be examined and analyzed, and they will be presented to the policy makers to help improve the Islamic economic system.

Major Topics

 The Journal publishes papers, including the following fields:

- Islamic economics and finance;

 - Iran's economy;

 - Fiqh (Islamic jurisprudence) and economics;

 - Philosophy of economics;

 - Economic theory;

 - Ethics;

- Islamic economic institutions

 - Islamic banking;

 - Economic development;

- Social security.
DOI: 10.17632/w2c6p73ztw
title: Data for: Selective embolization of the thyroid arteries (SETA): ten years’ experience.

description: The whole text of the research enclosed as Appendix Supplementary data.
DOI: 10.17632/xntfnbg3fm
title: Metabolome, transcriptome, and proteome data for tomato fruit after low temperature storage

description: We performed comparative metabolome, transcriptome, and proteome analyses to comprehensively understand the mechanism underlying the effects of low temperature on metabolic changes in tomato fruit (fresh fruit, C0d; 4 °C 8 days, C8d; 4 °C 7 days and then 25 °C 1 day, C7dS1). The differentially accumulated metabolites (DAMs), differentially expressed genes (DEGs) and differentially expressed proteins (DEPs)  were identified.
DOI: 10.6084/m9.figshare.14703021.v1
title: Datasets.zip

description: The uploaded data is about flow-field fitting method and acoustic Doppler velocity measurement. These data are results of detecting leakage inlets and determining the leakage pathways in the reservoir area.
DOI: 10.17632/c3fgs6r5t9
title: Nitrate and silicate fluxes at the sediment-water interface of the deep North Pacific Ocean illuminated by 226Ra/230Th disequilibria

description: All data used to generate figures and tables in the main paper and in the supplementary.
DOI: 10.17632/td8sy4xfmp
title: UV-Visible Heme Absorbance Spectroscopic Characterization of Caenorhabditis elegans Globin Proteins GLB-10 and GLB-31

description: In order to contribute to the limited body of knowledge about C. elegans globin proteins, we examined the heme absorbance of globin proteins GLB-10 and GLB-31 under oxygenated conditions using UV-Vis spectroscopy and used GLB-1 as a control. Each protein was overexpressed in E. coli and purified. Under oxygenated conditions, GLB-1 showed the expected spectrum with a Soret band at 414 nm, and Q bands at 543 nm and at 578 nm. GLB-10 showed a similar spectrum with a Soret band at 418 nm and Q bands at 546.8 nm and 574 nm. GLB-31 had a Soret band at 418 nm and Q bands at 540 nm and 570 nm. Structure data from the Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) and AlphaFold were used to perform structure and sequence alignments of GLB-10, GLB-21, and GLB-31 with GLB-1 and GLB-6 with ChimeraX’s Matchmaker tool (Geuens et al. 2010, Yoon et al. 2010, Jumper et al. 2021, Varadi et al. 2024, Meng et al. 2023). Structurally, GLB-31 was the most similar to GLB-1 overall, with a root mean square deviation (RMSD) of 4.5 Å. However, the sequence alignment showed that GLB-21 had the most conserved residues when aligned with GLB-1, indicating that GLB-21 and GLB-1 have the most similar heme-coordinated residues. GLB-10 was the most similar to GLB-6 overall, with an RMSD of 3.8 Å. None of the experimental proteins had more than one His residue that was conserved from the GLB-6 alignment. As such, it was concluded that the experimental proteins are likely pentacoordinated proteins that have different functions.
DOI: 10.6084/m9.figshare.25941142.v1
title: A Study on the Effect of Consumers' Perceived Value of Service AI Robots in the Restaurant Industry on Service Trust and Reuse Intention: Centered on the South Korean Food Service industryService AI RobotsService AI Robots

description: This study investigates the impact of consumers' perceived value of service AI robots on service trust and reuse intention within the South Korean restaurant industry. With the rapid advancement of FoodTech, which integrates IT technologies with the food service sector, the deployment of AI robots in restaurants has become increasingly prevalent. This research aims to understand how these technological innovations affect customer satisfaction and loyalty. Utilizing a survey methodology, data was collected from 277 respondents who had experience with AI robot services in restaurants. The findings reveal that the functional and social values perceived by consumers significantly influence their trust in service robots. Moreover, both experiential and social values have a positive effect on consumers' intention to reuse these services. The study highlights the critical role of service trust in enhancing reuse intention, indicating that AI robots, through their precision and reliability, can foster high customer trust and repeat patronage. The implications suggest that integrating AI technology within the restaurant industry not only enhances operational efficiency and reduces labor costs but also shifts consumer behavior towards greater acceptance and reliance on robotic services. Future research should explore the long-term impacts and cross-cultural applicability of these findings as AI technologies continue to evolve.
DOI: 10.17632/9g95ns6pxm
title: Data for: Enhancement of loop heat pipe heat transfer performance with superhydrophilic porous wick
DOI: 10.17632/2f6mrxpsh3
title: Data for: A Hierarchical Fuzzy Data Envelopment Analysis for Wind Turbine Site Selection in Indonesia

description: The data sets contain data for province and district levels of the DEA model
DOI: 10.6084/m9.figshare.25559940.v1
title: WMLES results for channel flow and flat plate TBL using Nek5000

description: This dataset accompanies the following paper:The results are divided into channel flow and zpgtbl. Most data are in hdf5 format, and the contents can be explored via direct interrogation of the hdf5 in your favourite programming language.<br>For zpgtbl, 3 .hdf5 files corresponding to the 3 meshes are provided. For channel flow, the tr_ prefix indicates the Neumann boundary condition, the vs_ the viscosity-based. Then, vrm indicates the Vreman model and sigma the Sigma model. The time_averaging folder contains results for the averaged wall model input. The number after "n" in the file name indicates the number of time-steps the input is averaged across. Finally, the time_spectrum.npy holds the PSD of the velocity signal, as seen in the paper.<br>Additionally, we provide a packed version of Nek5000 and the KTH_Toolbox, which were used to produce the results. These are found under simulation_codes. For wall modelling, https://github.com/timofeymukha/nekwmles was used. An example channel flow case can be found in that repository and is a great starting point for reproducing these results.
DOI: 10.6084/m9.figshare.8051909.v1
title: Mass spectrometric profiling of histone marks in normal and obstructed kidneys

description: MS analysis was completed at Active Motif using the Mod Spec<sup>TM</sup> platform (Active Motif, Carlsbad, CA, USA). Historically, MS of histones has been problematic. Most protocols use trypsin which cleaves at lysine and arginine residues. However, because of the large number of lysine residues, trypsin digestion produces small peptides that are very hydrophilic and difficult to analyse. To overcome this, lysine residues were converted to propionyl amides so that cleavage occurred at arginine (9). In brief, histones were acid extracted from each sample (n=3 per group), and derivatized via propionylation. A trypsin digestion was then performed, with a second propionic anhydride reaction performed to modify newly formed N-termini, as previously described (9). Samples were then measured in triplicate using the Thermo Scientific TSQ Quantum Ultra mass spectrometer (Thermo Scientific, Waltham, MA, USA) coupled with an UltiMate 3000 Dionex nano-liquid chromatography system (Thermo Scientific). Each value represents the mean relative abundance of each form of a given tryptic peptide from three MS runs. The data was quantified using Skyline (21), and comprises the percent of each modification within the total pool of that amino acid residue (% peptide pool).
DOI: 10.17632/fsfpdy9t5r
title: PYATB: An efficient Python package for electronic structure calculations using ab initio tight-binding model

description: We present PYATB, a Python package designed for computing band structures and related properties of materials using the ab initio tight-binding Hamiltonian. The Hamiltonian is directly obtained after conducting self-consistent calculations with first-principles packages using numerical atomic orbital bases, such as ABACUS. The package comprises three modules: Bands, Geometric, and Optical. In the Bands module, one can calculate essential properties of band structures, including the partial density of states, fat bands, Fermi surfaces, and Weyl/Dirac points. The band unfolding method is utilized to obtain the energy band spectra of a supercell by projecting the electronic structure of the supercell onto the Brillouin zone of the primitive cell. With the Geometric module, one can compute the Berry phase and Berry curvature-related quantities, such as electric polarization, Wilson loops, Chern numbers, and anomalous Hall conductivities. The Optical module offers a range of optical property calculations, including optical conductivity and nonlinear optical responses, such as shift current and Berry curvature dipole.
DOI: 10.17632/x8brgg2j28
title: A Comparative Study of Fourier Transform and CycleGAN as Domain Adaptation Techniques for Weed Segmentation - Code and Data

description: This dataset contains the code and data to reproduce the experiments of the paper "A Comparative Study of Fourier Transform and CycleGAN as Domain Adaptation Techniques for Weed Segmentation". 

The data comes from the ROSE Challenge, a benchmarking competition of agricultural robots focused on autonomous weed destruction. The ROSE Challenge has been organized by the National Laboratory of Metrology and Testing (LNE) and the National Research Institute for Agriculture, Food, and the Environment (INRAE). Four teams participated in the ROSE field campaigns with different robots and camera systems. The teams' names are BIPBIP, PEAD, ROSEAU, and WeedElec. The images used in our experiments were collected in the years 2019 and 2021 in an experimental field at the INRAE research center located in Montoldre, France. The teams scanned maize (Zea mays) and bean (Phaseolus vulgaris) plants with four kinds of weeds (Lolium perenne, Sinapis arvensis, Chenopodium album, Matricaria chamomilla) under natural daylight conditions. The dataset is composed of RGB images (with different resolutions) and semantic segmentation masks to distinguish the crop, weed, and background classes. There are 1000 labeled images in total (125 per team and crop type) per year.
DOI: 10.6084/m9.figshare.26778598.v1
title: NOTCH1 mutation predicts better clinical survival benefit of tislelizumab in second-line esophageal squamous cell carcinoma: a RATIONALE-302 study biomarker analysis

description: In a mouse model of esophageal cancer, we conducted single-cell sequencing analysis of tumor tissues from mice with endogenous NOTCH1 knockout and control groups, finding that NOTCH1 mutation promotes a more immunoactive tumor microenvironment.
DOI: 10.17632/664ztfbch4
title: Data for: Dynamic modeling of subcellular phenylpropanoid metabolism in Arabidopsis lignifying cells

description: Matlab codes for the refined model of general phenylpropanoid pathway in Arabidopsis basal lignifying stems.
DOI: 10.4121/uuid:1a2bcb7f-192d-4c0c-9732-5d1ce005d0ee
title: Bluesky data: underlying the publication “Review of Conflict Resolution Methods for Manned and Unmanned Aviation”

description: Bluesky scenarios and result files used in the work "Review of Conflict Resolution Methods for Manned and Unmanned Aviation". The scenario files can be used with the Bluesky simulator tool implementation found at https://github.com/TUDelft-CNS-ATM/bluesky. The result files exhibit the results obtained with the previous tool.
DOI: 10.17632/bjv2bpjgv6
title: Advanced basal cell carcinoma treated with vismodegib

description: A. 64 yowf with nodular and micronodular BCC on back. Treated with vismodegib 150mg Mon-Fri with tumor shrinkage to 23 by 7cm after a six month course and treated subsequently with a radical resection and removal of T2-L1 spinous processes. Pt remains disease free after 52 months of treatment and surgery B. 63 yowf with infiltrative BCC arising in venous stasis ulcer on right foot. Treated with vismodegib 150mg/day for three months then was stopped by patient due to muscle cramps. Clinically no evidence of disease at 36 months after stopping vismodegib.
DOI: 10.25383/city.14294597.v3
title: ORBIT: A real-world few-shot dataset for teachable object recognition collected from people who are blind or low vision

description: Object recognition predominately still relies on many high-quality training examples per object category. In contrast, learning new objects from only a few examples could enable many impactful applications from robotics to user personalization. Most few-shot learning research, however, has been driven by benchmark datasets that lack the high variation that these applications will face when deployed in the real-world. To close this gap, we present the ORBIT dataset, grounded in a real-world application of teachable object recognizers for people who are blind/low vision. We provide a full, unfiltered dataset of 4,733 videos of 588 objects recorded by 97 people who are blind/low-vision on their mobile phones, and a benchmark dataset of 3,822 videos of 486 objects collected by 77 collectors. <br>The code for loading the dataset, computing all benchmark metrics, and running the baseline models is available at https://github.com/microsoft/ORBIT-Dataset<br>This version comprises several zip files:- train, validation, test: benchmark dataset, organised by collector, with raw videos split into static individual frames in jpg format at 30FPS- other: data not in the benchmark set, organised by collector, with raw videos split into static individual frames in jpg format at 30FPS (please note that the train, validation, test, and other files make up the unfiltered dataset)- *_224: as for the benchmark, but static individual frames are scaled down to 224 pixels.- *_unfiltered_videos: full unfiltered dataset, organised by collector, in mp4 format.
DOI: 10.17632/r69rrffvhf
title: Data & Code from An Objective Score to Identify Psychogenic Seizures Based on Age of Onset and History

description: Deidentified data & code from An Objective Score to Identify Psychogenic Seizures Based on Age of Onset and History. Interactive calculator available at https://wesleykerr.shinyapps.io/History/
DOI: 10.17632/tzfn6srm3x
title: Data for: Predicting intraparticle diffusivity as function of stationary phase characteristics in preparative chromatography
DOI: 10.6084/m9.figshare.14673444.v1
title: Supplementary Material for: Analysis of axial length in young patients with Marfan syndrome and bilateral ectopia lentis by Z-scores

description: Medicine
DOI: 10.17632/7dr4fyx6zm
title: MTOR modulation induces selective perturbations in histone methylation which influence the anti-proliferative effects of mTOR inhibitors

description: Emerging data suggest a significant cross-talk between metabolic and epigenetic programs. However, the relationship between the mechanistic target of rapamycin (mTOR), which is a pivotal metabolic regulator, and epigenetic modifications remains poorly understood. Our results showed that mTORC1 activation caused by the abrogation of its negative regulator tuberous sclerosis complex 2 (TSC2) coincides with increased levels of the histone modification H3K27me3 but not H3K4me3 or H3K9me3. This selective H3K27me3 induction was mediated via 4E-BP-dependent increase in EZH2 protein levels. Surprisingly, mTOR inhibition also selectively induced H3K27me3. This was independent of TSC2, and was paralleled by reduced EZH2 and increased EZH1 protein levels. Notably, the ability of mTOR inhibitors to induce H3K27me3 levels was positively correlated with their anti-proliferative effects. Collectively, our findings demonstrate that both activation and inhibition of mTOR selectively increase H3K27me3 by distinct mechanisms, whereby the induction of H3K27me3 may potentiate the anti-proliferative effects of mTOR inhibitors.
DOI: 10.17632/w94bgfyb4p
title: The Efficacy of Pembrolizumab, Ipilimumab, and Nivolumab Monotherapy and Combination for Colorectal Cancer: A Systematic Review and Meta-Analysis

description: This is the data set of meta-analysis entitled "The Efficacy of Pembrolizumab, Ipilimumab, and Nivolumab Monotherapy and Combination for Colorectal Cancer: A Systematic Review and Meta-Analysis"
DOI: 10.17632/3yx5y8b7tm
title: CYCLOPS: A cyclists' orientation data acquisition system using RGB camera and inertial measurement units (IMU)

description: The files in this data repository are a supplement to the paper "CYCLOPS: A cyclists' orientation data acquisition system using RGB camera and inertial measurement units (IMU)", which introduces an acquisition system developed to capture images and inertial measurement data of moving cyclists from a vehicle. The system described s consists of two devices. The first device is installed on the bicycle and is based on an electronic acquisition board comprising an inertial measurement unit (IMU), a microcontroller, and a transceiver for sending the cyclist's acceleration and orientation data to a vehicle. The second device is installed on the vehicle and uses the same board to acquire vehicle’s accelerations and orientations, along with an RGB monocular camera. The data is stored in real-time in a laptop’s drive for subsequent analysis and manipulation. The hardware architecture is presented in detail, including the designs for devices installation, IMUs configuration, and software installation on the laptop. By developing this system, the need to acquire data for training machine learning models capable of predicting the motion intentions of vulnerable road users (VRU), particularly cyclists, is addressed. All design and software files required to develop the proposed system are available for download at: https://doi.org/10.17632/3yx5y8b7tm.1, licensed under the Open-source license CC BY 4.0.