cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/r5rt2frnnd
title: Code SPINDIS: Nuclear shell-model level densities at high energies with a simplified pairing interaction

description: Abstract A comprehensive package for the calculation of shell-model level densities is presented. A basic combinatorial result. and a sophisticated configuration generator, allow one to obtain exact predictions of the shell model, including the spin distributions in very large configuration spaces, going up to tens to MeV excitation in a heavy nucleus. A simplified pairing interaction, acting only within levels, is also taken into account. Utility programs include standardized generation of single-par... Title of program: SPINDIS Catalogue Id: ADEU_v1_0 Nature of problem The estimation of the final-state level density is an important ingredient in all calculations of reaction rates. Typically, the level density can be measured directly only in narrow windows of energy and spin. The present program efficiently calculates the exact level densities predicted by the shell model up to very high excitation, even in heavy nuclei, and with a simplified pairing interaction taken into account. When fitted to known neutron resonance data, the program provides a benchmark e ... Versions of this program held in the CPC repository in Mendeley Data ADEU_v1_0; SPINDIS; 10.1016/S0010-4655(96)00135-X This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/ww5ks7g7mb
title: Anxiety, depression, and quality of life of caregivers of palliative care patients with cancer

description: Data Analysis
Data were tabulated in a Microsoft Excel database and then analyzed using SPSS Statistics version 26. Descriptive statistics were used to describe the sociodemographic characteristics; frequencies, means, and standard deviations were calculated. Spearman’s correlation coefficient and Kruskal-Wallis and Pearson’s chi-square tests were employed to determine the relationship between participants’ sociodemographic characteristics and their relationship with anxiety, depression, and quality of life.
DOI: 10.6084/m9.figshare.14638668.v1
title: Relative Exposure Index (REI) layer for coastal zone of Scotian Shelf-Bay of Fundy Bioregion

description: An index of relative wave exposure for the coastal zone of the Canadian Scotian Shelf-Bay of Fundy Bioregion
DOI: 10.6084/m9.figshare.27703872.v1
title: Tree-cover dynamics in Bangkok (Thailand) during 2018–2022

description: Dataset accompany manuscript titled 'Thaweepworadej, Phakhawat and Karl L. Evans. Tree-cover dynamics in a rapidly urbanising tropical mega-city – are trees of greater biodiversity and ecosystem service value less likely to be lost?' including tree canopy coverage (ha) in 2018 and 2022, percentage impervious surface cover in 2018, biodiversity data (native bird and tree species richness) in the urban Bangkok region during March to July 2018, and ecosystem service values of native trees (carbon storage capacity, human food production capacity, economic value) used for statistical analyses.
DOI: 10.6084/m9.figshare.4557685.v1
title: Wound-healing patent data

description: Wound-healing patent data
DOI: 10.17632/vpzkntzjty
title: Comprehensive Betel Leaf Disease Dataset for Advanced Pathology Research

description: Betel leaf is widely consumed in South Asian countries, and it has significant economic importance for its nutrient components. It has several types of uses, which highly increase its importance in the agricultural sector of South Asian countries. The cultivation of betel leaf is not easy, and it is highly prone to several types of diseases. Diseases decrease the quality of this leaf, which is a great threat to its cultivation. To get a good price from selling betel leaf, farmers are needed to ensure its leaf quality. For this reason, disease diagnosis is highly crucial for betel leaf farming. Moreover, betel leaf is a highly crucial export product, and it has a growing demand in the international market. Automated disease diagnosis can play a vital role in this process, which will also increase the actability of betel leaf in the international market.

To address the above-mentioned issue, advanced research on betel leaf disease diagnosis is needed. To support this, this dataset is developed by collecting images from betel cultivation fields using a smartphone. A total of 2,037 images are collected from four different cultivation fields in Bangladesh. Among 2,037 images, 1,080 images are healthy leaf images and 957 images are disease-affected leaf images. This dataset contains images of two betel leaf diseases, which are leaf rot and leaf spot, 269 and 688 images, respectively. The size of all images is 1024x1024 pixels, which will support almost all computer vision methods.

Several image augmentation techniques are utilized to make this dataset more comprehensive and support advanced pathology research. Different image augmentation techniques such as vertical and horizontal flips, brightness, and rotation are used in this dataset to generate 10,185 images from original images. These images will play a vital role in preventing overfitting and underfitting issues. This dataset contains a total of 12,222 images of three different classes such as healthy, leaf rot, and leaf spot.

Using this dataset, researchers can perform both classical and modern computer vision-based techniques to diagnose and analyze betel leaf diseases. This dataset can play a significant role in advanced pathology research for efficient and accurate disease diagnosis of betel leaf, which is highly crucial for sustainable development in betel leaf farming.
DOI: 10.6084/m9.figshare.15180690.v2
title: Convergence-chlorplast-genes-C4-Casola-Li-2021

description: The folder includes protein and DNA alignments, phylogenetic data, and other metadata<br>
DOI: 10.6084/m9.figshare.28941863.v1
title: <b>Disszemináció</b>

description: A projekt keretében új Bioszisztéma prototípus kialakítását tervezzük, melyben a rugalmas lécesbetét és a biomatrac előnyös tulajdonságait integrálva olyan ágybelsőt alakítunk ki, mely egy egységet alkot; a matracmagba integráljuk a duplasoros, rugalmas lécesbetétet. Az újonnan kifejlesztendő Bioszisztéma megteremti annak a feltételeit, hogy a népegészségügyi szempontból kiemelt jelentőséggel bíró nyaki, háti és deréktáji gerincpanaszokkal bíró lakosság minél nagyobb részéhez eljuthasson a termék, ezzel javítva az e panaszokkal élők életminőségét, továbbá csökkentve az egészségügyi ellátórendszerre háruló financiális terheket. Mindezeken túl a Bioszisztéma, mint prevenciós/megelőző eszköz is javíthatja a magyar lakosság életminőségét (megelőzi a gerincfájdalmak és alvászavarok okozta problémákat), ami szintén mérsékli az egészségügyi terheket. Az előzetes felmérések szerint az újonnan kifejlesztett integrált rendszer a nemzetközi piacokon is sikeres fogadtatásban részesülhet, a könnyebb adaptálhatóság és a kedvező élettani hatások együttese miatt.
DOI: 10.17632/ycr7w5pvkt
title: Dataset of tree inventory and canopy structure in poplar plantations in Northern Italy

description: The repository stores data collected in 51 square (50 x 50m) 0.25 ha plots representative of poplar plantations in Lombardy Region (Northern Italy), which were used to calibrate optical informations derived from unmanned aerial vehicle (UAV) and satellite (Sentinel-2) sensors.
In each plot, the diameter at breast height (D) was measured using a caliper. Tree height (H), stem volume (Vst) and crown volume (Vcr) were derived from D using allometric equations developed in an independent study (Chianucci et al. 2020: https://doi.org/10.1093/forsci/fxaa021).
Additional canopy attributes were derived in each plot from 12-20 optical images obtained using digital cover photography (DCP), following the procedure described by Chianucci 2020 ( https://doi.org/10.1139/cjfr-2019-0055).
The raw datasets consist of 3312 records  (trees) associated to inventory measurements and 824 records (images) associated to optical canopy measurements. An R code was also provided to calculate plot-level attributes from raw datasets.
DOI: 10.4121/20050967.v2
title: Data underlying the article: "Guided-Acoustic Stimulated Brillouin Scattering in Silicon Nitride Photonic Circuits"

description: Data underlying the article: "Guided-Acoustic Stimulated Brillouin Scattering in Silicon Nitride Photonic Circuits". The data set consists of several different measurement and simulation results for the Brillouin gain, Brillouin shift and microwave photonic filter responses as published in the resource article. All data is stored in files using the CSV-format. The set is structered to give the data per figure (subfigure), where each subfigure has a folder containing a README-file describing the data in that folder.
DOI: 10.6084/m9.figshare.28170440.v1
title: Data on answers and responses to mathematical literacy skills

description: This study conducts an in-depth analysis of students' mathematical literacy. The problems used are derived from the Minimum Competency Assessment (AKM). AKM itself consists of PISA-like problems developed by the Indonesian Ministry of Education, focusing on enhancing students' literacy skills.
DOI: 10.6084/m9.figshare.28677017.v1
title: Sequencing of cinnabar KO amplicons

description: Amplicon sequences obtained via Nanopore sequencing of pooled PCR products of G0 genetically modified wasps obtained with variations of the SYNCAS protocol
DOI: 10.6084/m9.figshare.29043911.v1
title: Baseline and endline data collection and analysis

description: The research was undertaken to find the enablers and barriers for MDA for lymphatic filariasis and make an intervention package to be utilized in MDA campaigns to improve drug consumption.
DOI: 10.6084/m9.figshare.8857007.v2
title: Medical Augmented Reality Facial Data Collection

description: Medical augmented reality (AR) is an increasingly important topic in many medical fields. It enables an x-ray vision to see through real world objects. In surgery, this offers a pre-, intra- or postoperative visualization of “hidden” structures. In example, a surgeon can look through AR glasses directly at a patient while directly visualizing a pathology and the surrounding anatomical structures beforehand. In contrast to a classical monitor view, this provides an overlaid visualization not only on but also in relation to the patient. However, research and development of medical AR-based applications is challenging, because of the unique patient-specific anatomy and pathology. Furthermore, working with patients during the development for weeks or even months is not feasible. One alternative are commercial standard patient phantoms, which are very expensive. Hence, this collection provides a unique and accessible data set of patient-specific head PET-CT scans with corresponding 3D models, provided as stereolitography (STL) files. The STL models are optimized for effective 3D printing at a very low cost. All patients have different facial anatomies and pathologies, enabling the development and evaluation of medical AR applications for head and neck surgery.<br>The data can be viewd with Studierfenster: www.studierfenster.at<br><br>Please use the following citations if you use the data in your work:<br><br>J. Egger, C. Gsaxner, J. Wallner. Medical Augmented Reality Facial Data Collection. Figshare, 2019.<br><br>C. Gsaxner, A. Pepe, J. Wallner, D. Schmalstieg, J. Egger. Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery. MICCAI, pp. 236-244, 2019.<br><br>C. Gsaxner, J. Wallner, X. Chen, W. Zemann, J. Egger. Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgery. Scientific Data 6(1):310, 2019.
DOI: 10.17632/3by2f9h5p5
title: Supplementary data of Meso-Neoproterozoic diversification of crown-group eukaryotes was not accompanied by an oxygenation event

description: Samples were collected from newly exposed road cuts at the Shennongding, Tiechanghe, and Guanmenshan sections in Hubei Province, South China, as well as the Yuanjiagou section in Liaoning Province, North China. A total of 84 carbonate samples were collected from the Luanshigou, Dawokeng, Kuangshishan, Taizi, Yemahe, Wenshuihe, and Shicaohe formations in the Shennongjia Group, along with 67 carbonate samples from the Nanguanling and Ganjingzi formations in the Wuhangshan Group, and subsequently analyzed. Additionally, two compiled datasets provide information on Ce anomalies in carbonate rocks and the species richness of microfossils and macrofossils during the mid-Proterozoic. Table S1 presents rare earth element and carbon-oxygen isotope data from the Shennongjia Group and the Wuhangshan Group. Table S2 provides a compiled dataset of carbonate Ce anomalies spanning from 1800 Ma to 700 Ma. Table S3 provides a compiled dataset of microfossils and macrofossils spanning from 1800 Ma to 700 Ma.
DOI: 10.17632/bwzrdtpkbc
title: Optimal sampling area for monitoring forest restoration 

description: Database to the article "Estimating optimal sampling area for monitoring tropical forest restoration" by Londe, Reid, Farah, Rodrigues, and Martins. Biological Conservation, 2022. The data was used to test the following hypotheses: (1) there is an optimal sampling area (OSA) that efficiently captures variation in the estimation of ecological indicators in restoration projects; (2) restoration intervention and forest type affect OSA; (3) OSA change over time as restoration projects age.
DOI: 10.6084/m9.figshare.19679595.v3
title: MicroFisher_DBs

description: The databases for MicroFisher, the fungal classification pipeline for Metatranscriptome and Metagenome.
DOI: 10.6084/m9.figshare.25356616.v1
title: Data for Deep Learning of ab initio Hessians for Transition State Optimization

description: <pre>This repo contains data generated in a reasearch regarding machine learning transition state search.<br><br><br>Data (outputs.zip) are in form of json files corresponding to inititial transition state guess structures, optimized transition states, and corresponding reactants and products. The naming of the files contains six pieces of information. <br><br>1. Reaction ID (total 265, listed in Reaction.pdf)<br>2. Noise level added onto KinBot-generated initial transition state guess structures (0, 1, 2, 5, 10, 20, 50 pm)<br>3. Molecule type (TS: transition state, R: reactant, P: product, no label: initial guess structure)<br>4. Transition state optimization method (dft1: Quasi-Newton DFT optimization, nn1: Quasi-Newton NewtonNet optimization, nn0: Full-Hessian NewtonNet optimization)<br>5. (optional) IRC optimization method (dft1: Quasi-Newton DFT optimization, nn1: Quasi-Newton NewtonNet optimization)<br>6. (optional) Frequency calculation method (dft1: single point DFT vibrational analysis)<br><br>For example, file 210noise05_TS_nn0.json is the data of transition state for reaction 210 with 5 pm noise onto the initial guess structures optimized by full-Hessian NewtonNet method.<br><br>All data are stored in json format. They can be loaded through python by using:<br><br>import json<br>json.load(open(f'{rxn:03}noise{noise}<i>_TS_</i>{ts_method}.json', 'r'))<br><br>Details of each file are described in README file.<br>Scripts for using this data can be found at:https://github.com/THGLab/MLHessian-TSopt</pre>
DOI: 10.6084/m9.figshare.28282814.v1
title: Evaluating the Lithospheric Structure and Regional/Residual Bouguer Anomalies in Peninsular India through Potential Field Modeling and Thermal Analysis

description: The dataset provides comprehensive crustal and lithospheric mapping, with a specific focus on the peninsular region of India. This mapping is achieved through the integration of geoid, topography, and thermal analysis techniques under the framework of local isostasy and thermal steady-state conditions. The geoid dataset, which supports this mapping, is accessible for download in various orders and degrees from the ICGEM website. Furthermore, the anomaly file presents the computed regional gravity effects and residual anomalies across the entire study area, derived from detailed crustal and lithospheric structures. Notably, all data utilized in the modeling process, including the geoid, and topography, are also available for download, enabling reproducibility and further analysis.
DOI: 10.6084/m9.figshare.3486116.v1
title: Tests on Thin Reinforced Concrete Walls Subjected to In-plane and Out-of-plane Cyclic Loading - TW4 (1/4)

description: The present dataset describes an experimental campaign on five thin T-shaped reinforced concrete walls. The tests aimed at assessing the influence of wall thickness on member stability, the role of lap splices on damage distribution and displacement ductility, and the effects of the simultaneous application of out-of-plane loading on the member response.Further data can be downloaded from the links below.<br> If you use the data, please cite: Almeida, J. P., O. Prodan, A. Rosso, and K. Beyer. 2016. Tests on Thin Reinforced Concrete Walls Subjected to in-Plane and out-of-Plane Cyclic Loading. <i>Earthquake Spectra</i>.
DOI: 10.6084/m9.figshare.6682998.v1
title: Automatic composition of descriptive music: A case study of the relationship between image and sound

description: FANTASIAThis repository contains the data related to image descriptors and sound associated with a selection of frames of the films Fantasia and Fantasia 2000 produced by Disney<br>AboutThis repository contains the data used in the article <em>Automatic composition of descriptive music: A case study of the relationship between image and sound</em> published in the 6th International Workshop on Computational Creativity, Concept Invention, and General Intelligence (C3GI). Data structure is explained in detail in the article. <br><br>AbstractHuman beings establish relationships with the environment mainly through sight and hearing. This work focuses on the concept of descriptive music, which makes use of sound resources to narrate a story. The Fantasia film, produced by Walt Disney was used in the case study. One of its musical pieces is analyzed in order to obtain the relationship between image and music. This connection is subsequently used to create a descriptive musical composition from a new video. Naive Bayes, Support Vector Machine and Random Forest are the three classifiers studied for the model induction process. After an analysis of their performance, it was concluded that Random Forest provided the best solution; the produced musical composition had a considerably high descriptive quality. <br>DataNutcracker_data.arff: Image descriptors and the most important sound of each frame from the fragment "The Nutcracker Suite" in film Fantasia. Data stored into ARFF format.Firebird_data.arff: Image descriptors of each frame from the fragment "The Firebird" in film Fantasia 2000. Data stored into ARFF format.Firebird_midi_prediction.csv: Frame number of the fragment "The Firebird" in film Fantasia 2000 and the sound predicted by the system encoded in MIDI. Data stored into CSV format.Firebird_prediction.mp3: Audio file with the synthesizing of the prediction data for the fragment "The Firebird" of film Fantasia 2000.LicenseData is available under MIT License. To make use of the data the article must be cited.
DOI: 10.17632/mh54hnp52f
title: Data for: Dataset for atmospheric transport of nutrients during a harmful algal bloom

description: The data presented in this article are related to the research article entitled “Atmospheric transport of nutrient matter during a harmful algal bloom”. This article provides the data about the atmospheric transport of nutrients such as nitrate, ammonium and ferrous iron to algal bloom area prior to the harmful algal bloom in the East China Sea on May 3-8, 2006. These data can be helpful for analyzing the source of nutrients causing the harmful algal bloom.
DOI: 10.25378/janelia.26169355.v1
title: 2P calcium imaging from compass neurons of tethered flies walking on a ball in darkness

description: <b>2P calcium imaging data from EPG (compass) neurons of the central complex of tethered flies walking in darkness for the following paper:</b>Noorman M, Hulse BK, Jayaraman V, Romani S, Hermundstad AM (2024). Maintaining and updating accurate internal representations of continuous variables with a handful of neurons.<b>Data file for flies walking in darkness:</b><b>NoormanEtAlFlyWalkingInDarkness2PBehData</b><b>.mat:</b><b> </b>preprocessed 2P calcium imaging and behavior data.<b> </b>Calcium imaging performed at 10 Hz; 20-minute trials; 5 trials/fly.<b>File organization:</b>The file contains MATLAB data structures:<br><b>FDB</b>: Metadata for flies used in the experiment<br><b>TDB</b>: Information about 5 trials (A-E) /fly<br><b>DarkData</b>: structure with multiple data fieldsROI_Data_Dfof: [32×12000×50 double]: Time series of EPG population GCaMP activity for each of 32 user-defined wedges of the ellipsoid body (EB)FlyRotate_w2p: [50×12000 double]: time series of the fly's rotational velocity on the ballFlyForward_w2p: [50×12000 double]: time series of the fly's forward velocityFly: [50×1 double]: Fly ID (used internally)TwoP_Times: [50×12000 double]: time stamps corresponding to two-photon data acquisitionFlyPosition_w2p_aligned: [50×12000 double]:WedgeCenters: [32×1 double]: centers of ROIs for analysis of imaging data in the EBBumpPosition: [50×12000 double]: phase of the population vector average within the EBBumpR: [50×12000 double]: amplitude of the population vector averageBumpPeak: [50×12000 double]: bump amplitudeTwoP_Fs: [50×1 double]: sampling frequency<b>Associated code:</b>Code for all analyses and plotting is available at:<br>https://github.com/HermundstadLab/DiscreteRingAttractor<br>
DOI: 10.6084/m9.figshare.23607582.v1
title: patient14.rar

description: A Patient with fundus images that taken by Ret-cam.
DOI: 10.6084/m9.figshare.28587788.v1
title: Genome assembly of bitter gourd Y52

description: 苦瓜的基因组组装
DOI: 10.6084/m9.figshare.3081640.v3
title: The NPM software dependency network (npmjs.com)

description: The public software repository npm (http://npmjs.com) is one of the biggest ones. This dataset contains dependencies among packages in npm and is represented in edgelist format. It has 154744 nodes (software packages) and 517098 directed edges (dependencies).
DOI: 10.6084/m9.figshare.7122911.v1
title: Supplementary Material for: The Relationship between Cytokines and Verbal Memory in Individuals with Schizophrenia and Their Unaffected Siblings

description: <b><i>Background:</i></b> Verbal memory impairment may be considered an endophenotype in schizophrenia (SZ), also affecting the siblings of SZ subjects. Furthermore, the immune-inflammatory system response has an important modulatory effect on brain processes, especially on memory circuits. <b><i>Objective:</i></b> Investigating the relationship between TNF-α and IL-6 and memory performance in patients with SZ, their unaffected siblings (SB) and healthy controls (HC). <b><i>Methods:</i></b> 35 subjects with SZ, 36 SB, and 47 HC underwent a neurocognitive assessment for verbal memory by means of the revised Hopkins Verbal Learning Test (HVLT-R) in addition to serum cytokines analyses. <b><i>Results:</i></b> SZ patients performed worse in HVLT-R than SB and HC, but SB and HC were not different. Regarding the biomarker levels, we found significant results of TNF-α for both groups. However, we did not find differences between groups after multiple-comparisons analysis. There were no significant correlations between episodic verbal memory, TNF-α, and IL-6. <b><i>Conclusion:</i></b> The results are compatible with the hypothesis that deficits in verbal memory of individuals with SZ could be secondary to inadequate functioning of cognitive processing areas, such as proactive cognitive control.