cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22774751.v1
title: Data and code associated with: <strong>Satellite-driven evaluation of ecological environmental quality based on the PSR framework</strong>

description: These are data files and code associated with, Satellite-driven evaluation of ecological environmental quality based on the PSR framework <br> <strong> Abstract：</strong> <br> Ever-increasing human activities have resulted in significant environmental degradation. It is crucial for environmental protection to monitor and evaluate the ecological environmental quality (EEQ) in a timely and accurate manner. Remote sensing technology has been widely used to quantify EEQ. However, current remote sensing EEQ evaluation methods suffer from deficiencies with regard to the indicator system and the EEQ quantification, reducing the accuracy of EEQ evaluations. Therefore, this study proposes a novel method to evaluate EEQ. Remote-sensing indicators used in the pressure-state-response (PSR) framework are selected based on the traditional EEQ evaluation system, and deep neural networks (DNNs) are used to quantify EEQ. A case study is conducted in Guangdong and Guangzhou city, China, to validate the method. The trends in EEQ from 2013 to 2019 are analyzed using the Sen and Mann-Kendall (MK) tests in Guangzhou city. The results show the following. (1) The proposed method has a significantly higher EEQ estimation accuracy (determination coefficient (R2) of 0.75 and normalized root mean square error (NRMSE) of 13.61%) than the commonly used remote sensing ecological index (RSEI) method (R2 of 0.51 and NRMSE of 19.13%). (2) The five remote sensing indicators (RSI) in the PSR framework are highly correlated with EEQ, with a minimum |r| = 0.52. (3) In Guangzhou, the EEQ increased from southwest to northeast and showed an increasing trend from 2013 to 2019, consistent with actual conditions. This study provides a new strategy for the high-accuracy estimation of EEQ based on remote sensing data. <br> <strong>File list:</strong> EEQ measurements by district and county in Guangdong Province( EEQ measurements.zip ) PM2.5 concentration data ( PM2.5_ECHAP_PM2.5_Y1K_2018_V3_flip.zip ) Land cover data ( CLCD_v01_2016_albert_guangdong.zip ) ASTER GDEM ( DEM.zip ) GPM_3IMERGM L3 1-month V06 ( GPM monthly precipitation data downloading(GEE code).txt ) Landsat 8 OLI/TIRS ( NDVI LSM and EVI downloading（GEE code）.txt ) <br> Data from the Google Earth Enging (GEE) platform were provided in the form of code. Soil type data was provided by the local land reclamation centre under a confidentiality agreement. In respect of this agreement, we are unable to make this data publicly available. Further more, soil type data is confidential data relating to the project and therefore not publicly available.
DOI: 10.17632/8zw2r3npp7
title: Data for: Dalbavancin is a promising anti-COVID-19 candidate

description: The sourse data of the paper: Dalbavancin is a promising anti-COVID-19 candidate
DOI: 10.6084/m9.figshare.11090708.v1
title: spss data20191113_전체.sav

description: My data is data of donors and recipients who have undergone kidney transplantation from deceased donors in KOTRY registry in Korea. The purpose of this study is to compare the results of renal transplantation between elderly deceased donors over 60 years old and donors below 60 years old.
DOI: 10.6084/m9.figshare.12592478.v1
title: Data for "Non-rigid registration and non-local principle component analysis to improve electron microscopy spectrum images"

description: Data for Yankovich, A. B., Zhang, C., Oh, A., Slater, T. J. A., Azough, F., Freer, R., Haigh, S. J., Willett, R. & Voyles, P. M. Non-rigid registration and non-local principle component analysis to improve electron microscopy spectrum images. Nanotechnology 27, 364001 (2016). DOI: 10.1088/0957-4484/27/36/364001
DOI: 10.6084/m9.figshare.22678120.v1
title: Raw data , western blot and code.zip

description: The original data of the manuscript
DOI: 10.6084/m9.figshare.24586926.v3
title: Vaknin et al. 2024 Source Data for "Gas seepage and pockmark formation from subsurface reservoirs: Insights from table-top experiments"

description: Vaknin et al. 2024 Source Data for "Gas seepage and pockmark formation from subsurface reservoirs: Insights from table-top experiments"; Journal of Geophysical Research - Solid Earth (2024)
DOI: 10.6084/m9.figshare.28034705.v1
title: This is the dataset for the "Fire-driven disruptions of global soil biochemical relationships"

description: Dataset
DOI: 10.6084/m9.figshare.3502754.v1
title: Harvard Inventors Benchmark

description: The manual Harvard disambiguation used as one of the benchmarks in the paper. In all columns, if more than one ID is found, the elements are comma separated. 6 columns, 587 rows, "|" delimited; the columns are:--Pub\_number: the publication number of the patent--ManualIDs: The manually disambiguated IDs of each inventor on the patent. --OurIDs: the output of our algorithm on this patent. --LiLow: The "low" disambiguation of Li et. al. on this patent. --LiHigh: the "high" disambiguation of Li et. al. on this patent. --RawNames: the undisambiguated names on the patent, with case and punctuation dropped. <br>
DOI: 10.6084/m9.figshare.6730973.v1
title: Kumar et al., 2018 - JCS

description: Supplemental files _Kumar et al., 2018, JCS
DOI: 10.6084/m9.figshare.25574811.v1
title: Phylogenetic analyses - Supplemental Data - Hoang <i>et al</i>. 2024. <i>Annals of Botany</i>. https://doi.org/10.1093/aob/mcae179

description: Phylogenetic analyses - Supplemental Data, supporting findings in Hoang <i>et al.</i>, 2024. <b>Expanding the Triangle of U: Comparative analysis of the</b><b> </b><b><i>Hirschfeldia incana</i></b><b> </b><b>genome provides insights into chromosomal evolution, phylogenomics and high photosynthesis-related traits</b><b>.</b> https://doi.org/10.1093/aob/mcae179
DOI: 10.6084/m9.figshare.26359984.v2
title: <b>Rapid and memory-efficient analysis and quality control of large spatial transcriptomics datasets</b>

description: This repository contains all the supplementary data required for the Pseudovisium pre-print.
DOI: 10.6084/m9.figshare.28333265.v1
title: Data_GCA.docx

description: An advanced electrolyte version of the Cubic Plus Association (eCPA) equation of state in application to the systems containing CH<sub>4</sub>, CO<sub>2</sub>, H<sub>2</sub>O and NaCl (up to 6 molal) at pressures up to 200 MPa and temperatures up to 823 K
DOI: 10.6084/m9.figshare.28428707.v1
title: MAVSD：A Multi-Angle View Segmentation Dataset for Detection of Solidago Canadensis L

description: MAVSD (Multi-Angle View Segmentation Dataset) is a comprehensive multi-angle aerial dataset specifically designed for detecting and segmenting Solidago canadensis L., a widespread invasive plant species. The dataset features high-resolution RGB imagery captured by DJI M300 UAV from four distinct viewing angles (30°, 45°, 60°, and 90°), providing comprehensive coverage of the target plant's morphological characteristics in natural environments. The dataset encompasses 13 semantic categories, including the invasive species, various vegetation types, and common terrain features. All images are provided with dual annotation formats: VOC format classification labels and polygon-based semantic segmentation annotations (JSON+PNG format). The dataset is divided into training and testing sets, with corresponding file lists for each viewing angle. MAVSD's multi-angle acquisition strategy and detailed semantic annotations make it particularly suitable for developing deep learning models for invasive species monitoring and ecological surveys in real-world applications.

This dataset aims to address the challenges in automated vegetation monitoring by providing diverse perspectives and high-quality annotations, facilitating the development of more robust and accurate detection systems for invasive species management.
DOI: 10.6084/m9.figshare.28870436.v1
title: Fungal Planet xxx Ramariopsis coronata - Supplementary Table.docx

description: Supplementary Table with accession numbers of all sequences used in the the phylogenetic analyses
DOI: 10.6084/m9.figshare.7378196.v1
title: Supplementary tables A1–3. Two parallel magmatic belts with contrasting isotopic characteristics from southern Tibet to Myanmar: Zircon U–Pb and Hf isotopic constraints

description: Supplementary tables A1–3. Table A.1 Zircon U–Pb age data of analyzed samples from batholiths in Myanmar; Table A.2 Zircon Hf isotopic data of analyzed samples from batholiths in Myanmar; Table A.3 Whole rock Sr–Nd isotopic data of analyzed samples from batholiths in Myanmar.
DOI: 10.17632/rbp2x9hsgx
title: The role of archetypes in the forming of the symbol «Bayraktar»

description: In total, 240 students of the Lviv Polytechnic National University were surveyed. During the experiment, respondents recorded their responses using Google Forms survey tools. Students were given closed-response options of "yes," "no," or abstention. The results were analyzed using quantitative methods, which allowed the identification of the most important archetypal images associated with the symbol "Bayraktar." Through empirical means, employing an inductive method, hypothetical deductive assumptions about the role of archetypes in shaping modern symbols were confirmed.
The statement of a scientific-technical nature, "Bayraktar is a powerful weapon," received the highest positive reactions during the survey (193 positive reactions, three negative, 44 neutral). Nevertheless, statistics on reactions to archetypal-mythological images related to drones among respondents were also notably high. Specifically, 183 students affirmed the connection of "Bayraktar" with the archetype of the element of air (25 negative reactions, 32 neutral); 141 students associated it with bird archetypes (36 negative reactions, 63 neutral); 126 students with eagle archetypes (51 negative reactions, 63 neutral); and 87 students with dragon archetypes (69 negative reactions, 84 neutral). This indicates that mythological-archetypal foundations continue to be a significant part of the subconscious level of contemporary human thought.
DOI: 10.6084/m9.figshare.28302644.v1
title: Inkjet-printed transparent electrodes: design, characterization, and initial in vivo evaluation for brain stimulation

description: Data to reproduce the figures from <i>Matta*, Reato* et al., 2025, </i><i>"</i><i>Inkjet-printed transparent electrodes: design, characterization, and initial in vivo evaluation for brain stimulation</i><i>".</i>Data is organized into folders corresponding to each figure in the manuscript. Data is already converted to formats that can be easily opened with any common software (Python, MATLAB, etc), such as .txt, .mat, .xlsx.<br>
DOI: 10.17632/xb7vy3bg23
title: Copper migration and enrichment in the mantle wedge: Insights from orogenic peridotites and pyroxenites

description: We here present a combined study of the Cu elemental and isotopic compositions (δ65Cu) as well as Fe3+/∑Fe ratios on a well-characterized suite of the Mg-lherzolites, Fe-rich peridotites and pyroxenites from the Bohemian Massif in a Variscan subduction zone. The data included in this study allow us to investigate the migration, redistribution and enrichment of Cu in the mantle wedge and to relate those processes to the genesis of porphyry copper deposits. Table 1 presents selected major and trace element contents, mineral modal abundance, Fe3+/∑Fe and Cu isotopic compositions of the Bohemian peridotites and pyroxenites along with Cu isotopic data of reference materials; Table S1 presents all major (wt %) and trace (μg/g) element concentrations of the Bohemian peridotites and pyroxenites from Ackerman et al. (2009), Svojtka et al. (2016) and Huang et al., (2019); Table S2 presents the calculated variations of Cu contents and δ65Cu values in the evolved melts during melt-peridotite reaction in the mantle.
DOI: 10.6084/m9.figshare.13190858.v2
title: Time series of fluxes, biochemical and spectral variables simulated with SCOPE model and acquired in a Mediterranean grassland for SSA.

description: The dataset contains:Time series of fluxes, biochemical and spectral variables simulated with Soil Canopy Observation of Photochemistry and Energy fluxes (SCOPE) model, parameterized using structural vegetation parameters as well as meteorological data from the research station of Majadas de Tiétar (39°56′24.68″N, 5°45′50.27″W) (Cáceres, Spain)Time series of fluxes and spectral variables measured with high-resolution device FloX in Majadas de Tiétar (39°56′24.68″N, 5°45′50.27″W) (Cáceres, Spain)Time series of simulated and measured Photochemical Reflectance Index (PRI), far-red solar-induced chlorophyll fluorescence and apparent far-red fluorescence yield decomposed into seasonal, diurnal and sub-diurnal components with Singular Spectrum Analysis
DOI: 10.17632/c5257n44dk
title: Malay Cultural Components in Malay as Foreign language Teaching

description: This dataset provides Malay cultural components in Malay as foreign language teaching that constituted of five main categories: perspectives, practices, products, persons and places. The data also included respondents' demography such as location, gender and age.
DOI: 10.17632/yn3pknwcn2
title: Revised Library of Functions for “A Virtual Analog Computer for Your Desktop”

description: Analog computing has received increased attention in recent years because of extremely high processing speeds at very low energy cost [1].  In addition to being fun to use, analog computers are excellent teaching tools for solving differential equations.  As explained by Arthur Glazar, analog computers became extinct in the 1970s for good reasons, but the reasons for the demise are eliminated in a virtual implementation [2].  Analog computers continue to find applications in niche computing applications.  For example, in automatic process control, analog representations allow very clear visualization of the flow of information through the control network.  Analog signal processing is also still common in other applications such as instrumentation for process or chemical analysis.  The files provided here allow the user to explore and learn the basics of analog computing in the LTspice environment.

Revised Library of Functions is an update to the library originally published by Arthur Glazar [2].  The original starter library of functions was published simultaneously Steve Taranovich [3].  The original library contains basic operators for use in LTspice electronic simulation software [4].  LTspice is a high-performance SPICE simulator, schematic capture and waveform viewer with enhancements and models for the simulation of analog electronic circuits [3]. Glazar's library includes operators for integration, differentiation, summation, inversion, multiplication, and division.  The original version was for LTspiceIV, and the original files still work in LTspiceXVII.  However, the original “3Summer” file contained an error which needs to be fixed before the operator can be used.  That file has been corrected here.  That and the other files have also been updated and simplified for easier use in the Windows 10 operating system.
DOI: 10.6084/m9.figshare.23995725.v1
title: Dataset1_train.tsv

description: This file contains the training protein sequences for Dataset1
DOI: 10.6084/m9.figshare.28079897.v2
title: SORFPP

description: Experimental comparisons revealed the positive effects of integrating nucleotide and deep coding features. In addition, integrating the results of the underlying model with an ensemble learning framework helps to improve predictive performance. The results show that SORFPP is a reliable method to identify the activity of SEP.
DOI: 10.6084/m9.figshare.28533422.v1
title: ICI-5

description: · Animal Model: ICI-associated myocarditis· Animal Age: 8-12 Weeks· Animal Strain: A/J mouse· Number:o ICI-5: 8 controls and 20 aPD-1· Experimental Conditions: Mice were i.p. injected with anti-PD-1 antibody (150 µg/mouse, BioXCell, clone RMP1-14). Control mice were injected with isotype control antibody (BioXCell, clone 2A3). Mice were sacrificed on day 21 after the antibody injection.
DOI: 10.6084/m9.figshare.7732178.v1
title: Supplementary Table 1: Vitamin D and Genotype

description: Supplementary Table 1: Vitamin D and Genotype RNA-seq data
DOI: 10.17632/9tb7k297ff
title: Banana Leaf Spot Diseases (BananaLSD) Dataset for Classification of Banana Leaf Diseases Using Machine Learning

description: * Banana leaves are susceptible to several diseases, which have a significant impact on their yield. These diseases can cause damage to banana plants, resulting in reduced fruit production, stunted growth, and even plant death. As a result, affected plants are often unable to produce marketable fruit, leading to economic losses for banana farmers and potentially affecting the overall global banana supply.
* The dataset contains images of 3 prominent banana leaf spot diseases: (a) Sigatoka  (b) Cordana and (c) Pestalotiopsis. It also contains images of healthy leaves.
* The dataset is split into 2 sets: (a) Original Set and (b) Augmented Set.
* The raw set contains 937 RGB images of four classes in JPG format. 
* The augmented set contains 400 images for each class, totalling 1600 images. The following augmentation operations are performed: gaussian blur, horizontal flip, crop, linear contrast, shear, translate, and rotate shear.
All images have a standard resolution of 224 x 224 pixels. 
* All images are captured using smartphone camera from banana fields of Bangabandhu Sheikh Mujibur Rahman Agricultural University, Bangladesh and adjacent banana fields during June 2021. Three smartphone cameras were used to collect the data. All images are labelled accordingly by a plant pathologist.
DOI: 10.17632/bzmyszrwby
title: Data for Molecular simulations reveal intricate coupling between agonist-bound β-Adrenergic Receptors and G Protein

description: This dataset include all the input, output, and parameter files, as well as short trajectories for the systems we simulated in out paper "Molecular simulations reveal intricate coupling between agonist-bound β-Adrenergic Receptors and G Protein". It includes systems: b1AR-NE, b1AR-Gs, b1AR-Gs-GTP1, b1AR-Gs-GTP2, b1AR-Gs-GDP1, b1AR-Gs-GDP2, b2AR-NE, b2AR-Gs, b2AR-Gs-GTP1, b2AR-Gs-GTP2, b2AR-Gs-GDP1, b2AR-Gs-GDP2. The dataset for part of b2AR-NE and b2AR-Gs can be found in another published dataset: https://doi.org/10.25338/B89H1T
DOI: 10.17632/rknd3wbz42
title: One-Stage-TFS: Thai One-Stage Fingerspelling Dataset

description: The Thai One-Stage Fingerspelling (One-Stage-TFS) dataset is a comprehensive resource designed to advance research in hand gesture recognition, explicitly focusing on the recognition of Thai sign language. This dataset comprises 7,200 images capturing 15 one-stage consonant gestures performed by undergraduate students from Rajabhat Maha Sarakham University, Thailand. The contributors include both expert students from the Special Education Department with proficiency in Thai sign language and students from other departments without prior sign language experience. Images were collected between July and December 2021 using a DSLR camera, with contributors demonstrating hand gestures against both simple and complex backgrounds. The One-Stage-TFS dataset presents challenges in detecting and recognizing hand gestures, offering opportunities to develop novel end-to-end recognition frameworks. Researchers can utilize this dataset to explore deep learning methods for hand detection, followed by feature extraction and recognition using techniques like convolutional neural networks, transformers, and adaptive feature fusion networks. The dataset supports a wide range of applications in computer science, including deep learning, computer vision, and pattern recognition, thereby encouraging further innovation and exploration in these fields.

Keywords:
One-stage fingerspelling; Fingerspelling recognition; Hand detection; Hand gesture recognition; Deep learning; Computer vision 

Subject: 
Computer Science 

Specific subject area: 
Fingerspelling recognition is a crucial component of hand gesture recognition frameworks. The Thai One-Stage Fingerspelling Dataset includes images and annotated files that indicate the location of the hand within the images. This dataset is designed to support the detection of hand gestures and the recognition of fingerspelling. Additionally, it is relevant to various fields, including deep learning, computer vision, pattern recognition, and computer science applications.

Type of data: 
Image (JPG format) and Raw (XML format)

Data collection: 
The Thai One-Stage Fingerspelling (One-Stage-TFS) Dataset provides fingerspelling in the Thai language, focusing exclusively on one-stage consonants. The dataset was collected between July and December 2021 by undergraduate students at Rajabhat Maha Sarakham University, Thailand. The contributors included students from the Special Education Department with experience in Thai sign language and students from other departments without experience.

Data source location:
Institution: Rajabhat Maha Sarakham University
Province: Mahasarakham
Country: Thailand


Related research article:
S. Lata, O. Surinta, An end-to-end Thai fingerspelling recognition framework with deep convolutional neural networks, ICIC Express Letters 16 (2022) 529–536. https://doi.org/10.24507/icicel.16.05.5529
DOI: 10.6084/m9.figshare.21205777.v1
title: Supporting data for the study from Effects of social and environmental contexts on multi-male mating and mixed paternity in socially monogamous female prairie voles

description: With whom and how often to mate are fundamental questions that impact individual reproductive success and the mating system. Relatively few studies have investigated female mating tactics compared to males. Here, we asked how differential access to mates influences the occurrence of mixed paternity and overall reproductive success in socially monogamous female prairie voles (<i>Microtus ochrogaster</i>). We created male- and female-biased sex ratios of prairie voles living in semi-natural outdoor enclosures. We ran paternity analyses to determine the identity and number of mating partners females had and the number of offspring produced. We found that 57.1% of females had litters fathered by two or more males when males outnumbered females, and 87.5% of females had litters with more than one father when females outnumbered males. However, the percentage of mixed paternity and the total number of embryos were not statistically different between social contexts. We determined that female fecundity (i.e. number of embryos) correlated with the number of male fathers in each litter across social contexts. Although our study did not support the hypothesis that social context directly influences female mating decisions, it did suggest that female multi-male mating might lead to increased fertilization success under semi-natural conditions.