cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/39sw8xcrmv
title: Files needed for analysis codes of article DOI: 10.1101/2020.03.16.993683

description: This dataset is needed to run analysis codes and plotting scripts in GitHub repository: https://github.com/mldmort/Mortazavi2021_B6B10
Download the files which are necessary for each analysis code as instructed in README.md in the repository.
DOI: 10.17632/vwv3nry3wr
title: Rice Leaf Disease and Pest Dataset Overview

description: This dataset, tailored for training machine learning models in rice disease and pest detection, supports precision agriculture, crop management, and automated rice plant health monitoring. It contains 2,769 original images from various field conditions, expanded to 19,128 images through augmentation techniques for robust model training.

#Purpose: Automatic identification of rice diseases and pests.
#Original and Augmented Data: 2,769 original images, augmented to 19,128 with rotation, flipping, cropping, scaling, and color adjustments.
#Categories:
 Tungro: Yellowed, stunted leaves due to Tungro virus.
 Leaf Stripes: Stripe patterns from possible nutrient issues or stress.
 Leaffolder: Leaf damage by Leaffolder pest (Cnaphalocrocis medinalis).
 Healthy: Disease-free rice leaves.
 Rice: General rice leaf images.
 Leaf Blast: Necrotic lesions from fungal disease Pyricularia oryzae.
 Insect: Damage from insects other than Leaffolder.
#Applications: Enhances precision agriculture, aids in early disease detection, and supports mobile and IoT-based monitoring systems for rice farming.
DOI: 10.17632/2bz7zx9t8c
title: Data for: Preference of Co over Al for substitution of Fe in goethite (α-FeOOH) structure - Mechanisms

description: origin files for the figures
DOI: 10.17632/5c442vbjzg
title: Binary-Classification Performance Evaluation Reporting Survey Data with the Findings

description: This data prepared for or manuscript provides comprehensive findings related to binary-classification performance evaluation reporting issues of 78 academic studies within the last 7 years (2012–2018) that model some machine learning based Android malware detection classifiers and report their performance evaluation in terms of some metrics such as accuracy or F1. The data shows that the performance evaluation reporting in the literature is not common and well-defined. The performance metrics chosen, the number of metrics reported, and the combination of the reported metrics are highly diverse. The data also shows that the studies use Accuracy metric in a misleading manner via analyzing the performances by the proposed performance indicator. The survey selection methodology is also described in the data.
DOI: 10.17632/3ch7s5tdzp
title: Play tennis 

description: Target concept : good days to play tennis
DOI: 10.17632/5vzp6svhwh
title: Air temperature and light intensity in tropical rainforest of Brunei Darussalam in 2017

description: The air temperature and light intensity were recorded in tropical rainforest of Brunei Darussalam, at 20’ interval in 2017. HOBO Pendant® data loggers were attached to tree trunks approx. 2 m above ground. The data can be used to study various microclimatic and ecological characteristics of tropical rainforests in Brunei and other locations.
DOI: 10.17632/k5z7hf6vbb
title: Raw Fetal PCG Contaminated With Mother’s PCG

description: Eight patients consented in the participation of the recording for the fetus PCG. Most of the patients were 36+ weeks pregnant except one patient with a pregnancy of 32+ weeks. The hardware used to record fetal PCG is non-invasive with the infrastructure of a stethoscope attached to the microphone. Doppler and pulse oximeter along with the hardware were used simultaneously to record fetal and mother PCG. The sampling rate of the PCG is 44100 Hz. The doppler and pulse oximeter are the standard device used to record the fetus heart rate and mother’s heart rate in beats per minute (bpm). In contrast, the PCG signals acquired acoustic fetal heart sound traces. Each patient was in laying position while the experiment was carried out. The recordings were taken in three and two sessions per patient in two batches. The first batch consists of 3 patients with 2 sessions per minute. And the second batch includes 5 patients with 3 sessions per minute. The naming of the files is done accordingly such that B1_P1_S1 represents Batch 1’s patient 1 during session 1. And B2_P2_S2 indicates Batch 2’s patient 2 during session 2. Each session lasted for 1 minute with a gap of 10 seconds per session for both batches. The hardware was assembled under the Biomedical Instrumentation and Signal Processing Laboratory (BISPL) at Independent University, Bangladesh. The fetal and maternal PCG data were recorded in Urban Maternity Center, Dhaka North City Corporation, Bangladesh.
DOI: 10.17632/8nprr6z6c2
title: Energy drink consumption and sleep quality among students at the Copperbelt University School of Medicine in Zambia

description: This data should be opened with SPSS
DOI: 10.17632/d3w8s3zcnd
title: Characterization of phenotypic traits associated with anthracnose resistance in selected common bean (Phaseolus vulgaris L.) breeding material

description: Anthracnose caused by Colletotrichum lindemuthianum is the major common bean disease worldwide causing complete yield loss under favourable disease conditions. This study aimed to determine phenotypic traits associated with anthracnose resistance for future use in breeding programmes. Twenty-two common bean varieties (CBVs) were selected basing on susceptibility to anthracnose, advanced breeding lines, improved variety resembling advanced breeding lines and the farmer variety widely grown in Tanzania. Selected varieties were planted in anthracnose hotspot fields and the same CBVs were planted in a screen house to validate resistance to anthracnose. Anthracnose infection score, leaf length, leaf width, length of fifth internode, length of petiole, plant vigour, canopy height and canopy width were recorded. Data on number of plants emerging; days to flowering; days to maturity; plant stands at harvest; and grain yield were also collected and analysed using R software. Phenotypic traits evaluated differed significantly among genotypes, environment and genotype by environment interaction. Seventy-five percent of phenotypic traits evaluated were positively correlated to anthracnose resistance. 
Highly-strong correlations to anthracnose were observed on number of days to maturity, plant stands at harvest, plant vigour and grain yield. Leaf length, leaf width, length of fifth internode, length of petiole and number of stands emerging were strongly correlated to anthracnose resistance. Additive main effects and multiplicative interaction analysis (AMMI) revealed highest contribution of environment on anthracnose infection-58.9% and grain yield -84.9% compared to genotype effects on anthracnose infection -32.7% and grain yield-15.7%. Based on these results, four traits – plant vigour, number of days to maturity, number of plant stands at harvest and grain yield – are recommended for selecting anthracnose-resistant varieties. NUA 48, NUA 64 and RWR 2154 were superior varieties, resistant to anthracnose and high yielding, while Sweet Violet and VTT 923-23-10 were most stable varieties across environments. Further on-farm research is suggested to assess their performance and identify traits preferred by farmers.
DOI: 10.17632/m299y26j85
title: Lessonia spicata (

description: Photobiological and biochemical analysis data of Lessonia spicata (Valparaíso Bay, 2022)
DOI: 10.6084/m9.figshare.23607537.v1
title: Raw data about intraspecific variation of sexual size dimorphism and reproductive strategies in the dyeing poison frog.

description: This raw data is the basis for the paper 'Intraspecific divergence of sexual size dimorphism and reproductive strategies in a polytypic poison frog' by Lia Schlippe Justicia et al., submitted to Evolutionary Ecology. It describes body size, body mass, and reproductive traits for individuals from different populations of the dyeing poison frog (<em>Dendrobates tinctorius</em>). For details, please see the methods within the paper.
DOI: 10.17632/rft94c75zb
title: A database for a sediment yield analysis in the Raba River basin (Carpathian Mts)

description: The database contains results of the modeling study performed for the Raba River basin (Carpathian Mts., Poland) on the sediment yields. Using the calibrated and verified basin created in the DNS/SWAT Macromodel as a baseline scenario, subsequently the climate and land use scenarios were superimposed. The climate change scenarios were prepared using temperature and precipitation projections from the EuroCORDEX regional climate [https://euro-cordex.net/060378/index.php.en] and CMIP5 general circulation models [https://esgf-node.llnl.gov/projects/cmip5/][http://climateimpact.sggw.pl/map/proj/]. The land use change projections were based on the FORECOM project [http://www.gis.geo.uj.edu.pl/forecom/]. To track the sediment yields on the sub-basin level the Raba River basin was divided into 36 units. Impacts of single (hypothetical) and combined climate change and land use scenarios on sediment yield (t/ha and %) for each of these units (sub-basins) are displayed through the selection of database filters. The database consists of six Excel sheets: Sheet 1. sub-basins features - location of individual sub-basins, their numbers in the Raba River basin and main features: land use, slopes and soils classes share in the sub-basin area Sheet 2. scenarios - a list of scenarios prepared for the needs of the research together with their descriptions, whose impact on sediment yield in each sub-basin can be traced in the next sheets Sheet 3. results_plot - results of the individual scenarios impact on the sediment yield in the selected sub-basins and/or seasons the data is presented in the form of a pivot column chart. Functionality: by using the "Select sub-basin or/and season" buttons user can filter any sub-basin and season values Sheet 4. changes_plot (t/ha) - sediment yield change for each scenario in comparison to baseline scenario in t/ha (functionality like the previous sheet) Sheet 5. changes_plot (%) - sediment yield change for each scenario sediment yield change for each scenario in t/ha in comparison to baseline scenario in % (functionality like the previous sheet) Sheet 6. output - output from the model for all scenarios (see sheet 2. scenarios), average values of sediment yield for each season of data from 2005-2017 for 36 sub-basins in t/month.
DOI: 10.6084/m9.figshare.26886055.v1
title: Open-source data sets for classification task from UCI repository and Scikit-learn in section 4

description: Datasets from Scikit-learn are: ‘Iris’, ‘Wine’, ‘Breast Cancer Wisconsin (Diagnostic)’. Datasets from UCI repository are: ‘Seeds’ ‘Banknote Authentication’ (‘Banknotes’), ‘Heart disease’ ‘ Parkinsons ‘, ‘Ecoli’, ‘Thyroid (Thyroid gland data)’
DOI: 10.17632/zz8knnnftb
title: Structural Basis of Pre-tRNA Intron Removal by Human tRNA Splicing Endonuclease

description: Removal of intron from precursor-tRNA (pre-tRNA) is essential in all three kingdoms of life. In human, this process is mediated by the tRNA splicing endonuclease (TSEN) that consists of four subunits: TSEN2, TSEN15, TSEN34, and TSEN54. Here we report the cryo-EM structures of human TSEN bound to full-length pre-tRNA in the pre-catalytic and post-catalytic states at average resolutions of 2.94-Å and 2.88-Å, respectively. Human TSEN features an extended surface groove that holds the L-shaped pre-tRNA. The mature domain of pre-tRNA is recognized by conserved structural elements of TSEN34, TSEN54 and TSEN2. Such recognition orients the anticodon stem of pre-tRNA and places the 3’-splice site and 5’-splice site into the catalytic centers of TSEN34 and TSEN2, respectively. The bulk of the intron sequences make no direct interaction with TSEN, explaining why pre-tRNAs of varying introns can be accommodated and cleaved. Our structures reveal the molecular ruler mechanism of pre-tRNA cleavage by TSEN.
DOI: 10.6084/m9.figshare.26243195.v1
title: Code and Data for Article "Simultaneous selection and displacement of buildings and roads for map generalization via mixed-integer quadratic programming"

description: The file "Instructions for reproducing the results.pdf" describes the steps needed to reproduce the experiments presented in our article "Simultaneous selection and displacement of buildings and roads for map generalization via mixed-integer quadratic programming".The file "simultaneous_selection_and_displacement.zip" contains the code and input data that we used for the experiments.<br>
DOI: 10.17632/ypkgwjfr4r
title: Numerical Simulation of Barchan-barchan repulsion

description: The dataset shared within these files consists of the full setup to perform a numerical simulation of a subaquous barchan-barchan dune interaction. The simulation was carried out using the open-source free CFDEM software, which couples the open-source CFD code OpenFOAM with the open-source DEM code LIGGGHTS. The simulations were previously tested and validated (considering only one single barchan dune) against experimental results and results from the literature. The dataset contains a complete example case. We also share the full Octave code for post-processing those results. To understand and run the case, the user should be noticed that previously experience with both OpenFOAM and LIGGGHTS are recommended.
DOI: 10.6084/m9.figshare.25537669.v4
title: How is the Capability Approach Applied to Assess Well-being Impacts? A Systematic Review Dataset

description: This dataset has been uploaded on figshare to complement the review article: "How is the Capability Approach Applied to Assess Well-being Impacts? A Systematic Review". This review article has been submitted to the journal "Journal of Human Development and Capabilities" and consists of data extracted from 41 articles selected because of their focus on impacts evaluated through the Capability Approach.The dataset consists of one spreadsheet with the Articles for data extraction (n=41) and the related categorisation.<br>
DOI: 10.17632/2p2fxndkyr
title: Data for: Price and income elasticities of residential and industrial electricity demand in the European Union

description: Basic dataset for the article "Price and income elasticities of residential and industrial electricity demand in the European Union".
DOI: 10.17632/txjvcc774j
title: Raw data and scripts for analyses - Breed susceptibility for common surgically treated orthopaedic diseases in twelve dog breeds

description: Data accompanied with the paper "Breed susceptibility for common surgically treated orthopaedic diseases in twelve dog breeds". 1. Raw data, study population and control population (registration numbers extracted from DjurID and DyreID), including calculations of an adjusted reference population from the combination of the study population and control population. 2. Do-file provided for OR calculations.
DOI: 10.17632/hmz5mbrf7d
title: Shattered Housing - Replication Package

description: This package contains instructions, details, and (pseudo) data for the empirical analyses conducted in the paper.
DOI: 10.6084/m9.figshare.25117451.v1
title: PerfoRank Data

description: Data which was too large to upload to GitHub (https://github.com/bram-janssens/PerfoRank) for Scientific Publication
DOI: 10.6084/m9.figshare.28911785.v1
title: Directing conservation action for the Critically Endangered Philippine Eagle to mitigate mining impacts and maximize indigenous land management

description: As habitat destruction intensifies due to expanding human infrastructure, balancing biodiversity conservation with resource extraction has become a global challenge. Thus, quantifying the extent and location of proposed mining operations is key to mitigating the impacts on threatened and endemic species. This issue is particularly acute in the biodiversity hotspots of southeast Asia, where rapid economic growth needs to be balanced with sustainable conservation management of the remaining tropical forest. The Philippine Eagle (<i>Pithecophaga jefferyi</i>), a critically endangered tropical forest raptor endemic to the Philippines, faces increasing threats from mining activities that destroy and fragment its tropical forest habitat. Here, we integrate Species Distribution Modelling with gap and hotspot analysis to assess the spatial overlap between Philippine Eagle nest habitat and mining concessions across a protected area network on Mindanao, where the largest population remains. Using a landscape-scale SDM built with remote sensing covariates and eagle occurrence data, we identified high-suitability nest habitats and projected these into the Eastern Mindanao Biodiversity Corridor (EMBC). Hotspot analysis revealed that 41 % of the total mining concessions area contained high-suitability nest habitat, highlighting significant conservation risks. Additionally, 46 % of indigenous ancestral domains contain high-suitability nest habitat, emphasizing the importance of indigenous land management in safeguarding eagle habitats. Our gap analysis demonstrated that 35 % of the EMBC protects high-suitability nest habitat, which here represents the remaining montane tropical forest. To mitigate mining impacts, we propose targeted nest surveys in high-risk areas, implementation of mining moratoriums near critical nesting zones, and strengthening indigenous and protected area land management. By integrating SDMs with spatial analysis, we provide a framework for directing conservation efforts to balance resource extraction with the preservation of the Philippine Eagle’s habitat. Our findings offer crucial insights for policy development and land-use planning to protect this iconic species and its threatened habitat.
DOI: 10.17632/gjgspgnxvy
title: Park et al. 2023 

description: Contains original gel images and scripts for analysis used in the publication.
DOI: 10.17632/k8mkczry5h
title: Impact of Conversational Chatbots on Learning of University Students

description: To examine the impact of conversational chatbots on electronic learning in Bulgaria, an online survey was conducted using a Google Forms-based questionnaire from May 14 to May 31, 2023. The survey link was distributed via email and social media to student organizations and groups, resulting in 131 complete responses during the study period. 
With the recent advancements in large language models, generative AI chatbots have gained popularity due to their enhanced capabilities in natural language processing. The majority of respondents (89%) reported having prior experience using conversational chatbots as an educational tool. The respondents evaluated their AI chatbot experience based on criteria such as frequency of use, perceived usefulness, trust and security, and facilitating conditions. The findings indicate that students who are aware of the capabilities and benefits of smart chatbots are more likely to use them frequently. 
The second part of this study aims to evaluate the effectiveness of educational chatbots in handling university learning tasks, particularly in the field of mathematics. Two mathematics tasks were chosen and solved using different conversational chatbots. Here we can find information about cases where chatbots make mistakes and the types of errors. Further analysis provides valuable insights into the efficacy of chatbots in supporting mathematics learning at the university level. Among the seven evaluated conversational chatbots, ChatGPT Plus demonstrated the highest overall performance.
DOI: 10.17632/nmdz4yfk2t
title: Data for: Wisdom of Crowds for Synthetic Accessibility Evaluation

description: This dataset contains synthetic accessibility assessment results for 100 compounds given by 18 participants. There are three types of participants: expert, semi-expert, and non-expert.
DOI: 10.6084/m9.figshare.14784753.v1
title: Experiment Data

description: 该文件包含来自实验室测试的所有数据
DOI: 10.17632/mtbgnz7yk5
title: Ovarian Cancer Dataset - Cell Reports - Gonzalez et al 2021

description: CyTOF dataset of Gonzalez et al., Cell Reports 2021

1. NK and T cell infiltrates CyTOF files (CD45+CD66b- gated FCS files) for the 17 ovarian tumors from which we obtained correlations with a dl-NK cell phenotype.
2. Tumor cells CyTOF files (CD45-CD31-FAP- gated FCS files) for the 12 tumors measuring the NK receptor ligands.
DOI: 10.6084/m9.figshare.22786730.v1
title: <strong>AIMD-Chig: exploring the conformational space of 166-atom protein </strong><em><strong>Chignolin</strong></em><strong> with </strong><em><strong>ab initio</strong></em> <strong>molecular dynamics</strong>

description: Chig-AIMD is an MD dataset including 2 million conformations of 166-atom protein Chignolin sampled at the density functional theory (DFT) level with 7,763,146 CPU hours. 10,000 conformations were initialized covering the whole conformational space of Chignolin, including folded, unfolded, and metastable states. <em>Ab initio</em> simulations were driven by M062X/6-31G* with a Berendsen thermostat at 340K. We reported coordinates, energies, and forces for each conformation.
DOI: 10.17632/96zvxh6h52
title: Slamming classification dataset

description: The file contains 11 (eleven) columns, each one related to the features extracted from the analysis of the time series directly or indirectly measured on a ship scaled physical model tested in the wave basin (towing tank) at the Institute of Marine Engineering of the Consiglio Nazionale delle Ricerche (National Research Council), Rome, Italy (formerly, INSEAN). The dataset allows the user to set up a procedure for the identification of slamming events by using Machine Learning algorithms, as explained in the paper entitled "Bow slamming detection and classification by Machine Learning approach" by Dessi, Sanchez-Alayo, Shabani and Lavroff in Ocean Engineering, 2023, 287, 115646. The reader can also refer to Table 5 for further explanation of the columns. The last column (12) indicates what type of slamming event occurred, and is necessary to employ a supervised learning approach, as described in the paper. All the data are expressed at the scale of the physical model tested in the towing-tank. The tests were carried out in 2002 but Machine Learning analysis has been done recently. The dataset is a collection of several towing-tank tests relative to different speed and sea state conditions as reported in Table 4 of the cited paper. Fewer significant digits for numbers in certain columns indicate the suggested maximum precision (VAR09-10-11). The column relative to the frequency at which the wavelet peak was calculated (VAR06) reports repeated values of the (peak) frequencies. This depends on the frequency quantization of the wavelet algorithm.
DOI: 10.17632/t45r8yd6jd
title: BODY MASS AND PHYSICAL ACTIVITY IN AUTONOMIC FUNCTION MODULATION ON POST-COVID-19 CONDITION: AN OBSERVATIONAL SUBANALYSIS OF FIT-COVID STUDY

description: The harmful effects of coronavirus disease 2019 (COVID-19) can reach the autonomic nervous system (ANS) and  endothelial function. Therefore, the detrimental multiorgan effects of COVID-19 could be induced by deregulations in ANS that may persist after the acute SARS-CoV-2 infection. Additionally, investigating the differences in ANS response in overweight/obese, and physically inactive participants who had COVID-19 compared to those who did not have the disease is necessary. The aim of the study was to analyze the autonomic function of young adults after mild-to-moderate infection with COVID-19 and to assess whether body mass index (BMI) and levels of physical activity modulates autonomic function in participants with and without COVID-19. Patients previously infected with COVID-19 and healthy controls were recruited for this cross-sectional observational study.