cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2sp38s8y3b
title: A dataset of variety and location effect on optimization of row spacing, in North Gondar, Ethiopia

description: Malt barley is among the priority commodity crops that have attracted the attention of policymakers in Ethiopia. A lot of effort has been exerted to improve malt barley production through strengthening malt barley research and scaling up the available agronomic-like technologies. Despite all efforts, however, productivity is much below the potential due to traditional systems of land management, poor agronomic practices, lack of high-quality seeds of improved varieties. We, therefore, conducted a field experiment to evaluate malt barley varieties under a range of inter-row spacing and two mega environments in northern Gondar for their yield and associated traits. The data presented under this article includes Phenological traits, yield and yield components such as days to 50% heading, days to 90% physiological maturity, seeds spike, spike length, number of effective tillers, 1000-seed weight, grain yield, total aboveground biomass yield, and straw yield. The experimental factors considered in our experiment includes two divergence growing environments (Miligebsa and Kino), six malt barley varieties (i.e., Holker, HB1963, Sabine, Ibone174/03, EH1847, and Freygebse), and four levels of inter-row spacing such as 20, 25, and 30 cm. During the experimentation, all experimental plots received uniform agronomic practices such as weeding, fertilizer application, harvesting, and trashing. The analyzed result showed an important interaction among the imposed factors. It was found that optimization of row spacing has been found to be dictated by location and varietal difference. On the basis of the result, it can be universally concluded that 25cm row spacing combined with the varieties “HB1963,” “Hollker,” and “Sabine” was found to be optimum for maximum yielding potential under a potential environment (Miligebsa). This information can allow other researchers to review our data, methods, and analysis in detail, possibly giving rise to new lines of inquiry. This can also give rise to new collaborations and boost the reputation of this research result within the community. therefore, this dataset is aimed to prepare a dataset collected from an intensive malt barley field experiment for public use and to make the raw data available to everyone to use as they wish.
DOI: 10.17632/tw6v3pbktj
title: Observation and passenger interview of public transportation in Jakarta

description: This data features photos of observations on public transportation facilities in Jakarta, including trains and buses. In addition, this data is enriched with the results of interviews with public transportation passengers in Jakarta and its surroundings.
The interview is still in Indonesian so as not to miss the original context of the interview.

Researchers can use this data to find out the condition of public transport in Jakarta, both in the form of photos and more in-depth with user experience.

data taken in the 2024-2025 timeframe
DOI: 10.17632/xmhr96rfy2
title: FracMAP: A user-interactive package for performing simulation and orientation-specific morphology analysis of fractal-like solid nano-agglomerates

description: Abstract Computer simulation techniques have found extensive use in establishing empirical relationships between three-dimensional (3d) and two-dimensional (2d) projected properties of particles produced by the process of growth through the agglomeration of smaller particles (monomers). In this paper, we describe a package, FracMAP, that has been written to simulate 3d quasi-fractal agglomerates and create their 2d pixelated projection images by restricting them to stable orientations as commonly enco... Title of program: <i>FracMAP</i> Catalogue Id: AEDD_v1_0 Nature of problem Solving for a suitable fractal agglomerate construction under constraints of typical morphological parameters. Versions of this program held in the CPC repository in Mendeley Data AEDD_v1_0; <i>FracMAP</i>; 10.1016/j.cpc.2009.01.026 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/xpfwjg67r5
title: Determinants of household vulnerability to poverty in urban informal settlements

description: This dataset contains primary data collected for a quantitative study investigating the determinants of vulnerability to poverty in informal settlements within the City of Tshwane Metropolitan Municipality, specifically in Atteridgeville, Nellmapius, and Olievenhoutbosch. The study aimed to analyze how factors such as employment status, education level, access to basic services, food insecurity, breadwinner status, marital status, and social channels influence households' vulnerability to poverty.

The data was collected through structured household surveys conducted with 366 households, selected using a stratified sampling technique. The survey questionnaire captured demographic information, socioeconomic characteristics, and access to services, with a focus on indicators related to poverty and vulnerability.

The dataset supports stepwise binary logistic regression analysis and is intended to inform policy recommendations for poverty reduction and improved service delivery in urban informal settlements. All data have been anonymized to protect participant privacy.
DOI: 10.17632/yxy7drms8k
title: ACRE 2023

description: The Early and Refined dataset curated for "Balancing Accuracy and Cost in Precision Agriculture: a Few-Shot Learning Approach for Efficient Weed - Crop Segmentation "
DOI: 10.6084/m9.figshare.25435432.v3
title: Fertilizer application rate maps per crop and year

description: This folder contains 5-arcmin resolution maps for the application rate of each fertilizer (N,P2O5,K2O) on cropland and each of the 13 major crop groups resulting from our study "Global Crop-Specific Fertilization Dataset from 1961–2019".Please cite the associated paper when using the data source.
DOI: 10.6084/m9.figshare.25451986.v1
title: PMF-GRN: a Variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization

description: Datasets used in the PMF-GRN manuscript
DOI: 10.6084/m9.figshare.25818289.v2
title: Supplementary tables

description: Supplementary tables associated with Genomic and phenotypic characterisation of staphylococci isolated from the skin of non-human primates
DOI: 10.6084/m9.figshare.27814644.v1
title: Antimicrobial effect of silver diamine fluoride (SDF) in arresting dentine caries ofpermanent teeth: A Systematic review

description: Silver diamine fluoride (SDF) is recognized for its potent antibacterial properties and is commonly used in dentistry to treat carious lesions. This review aims to evaluate the antimicrobial effect of SDF on dentine caries in permanent teeth. The objective is to provide a comprehensive analysis of the existing literature to assess the efficacy of SDF in combating cariogenic flora within dentin lesions.
DOI: 10.6084/m9.figshare.28623641.v1
title: Evidence and Policy article:Participatory-deliberative processes in policymaking related to income insecurity as a determinant of health: a scoping reviewSupplementaryFile_SearchStrategy.pdf

description: This document details the search strategy employed for the scoping review with detail on the population, context and concept search terms, databases and websites searched as well as the associated returns from each.
DOI: 10.6084/m9.figshare.5693410.v1
title: MS data for Huang et al. NCB paper

description: To identify cofactors of IGF2BPs, we ectopically expressed FLAG-IGF2BP2 in HEK293T cells, pulled down the IGF2BP2 complexes using FLAG antibody and conducted mass spectrometry analysis. Immunoprecipitaion with IgG control and the subsequent mass spectrometry analysis were perform in parallel as a negative control. Proteins identified with 4 or more unique peptides each at 99% confidence are listed in the "Processed data.xlsx" file.
DOI: 10.6084/m9.figshare.8273774.v3
title: Individuals have unique muscle activation signatures as revealed during gait and pedaling

description: Raw electromyographic (EMG) data collected during walking on a treadmill (1.11 m/s) and pedalling on a cycloergometer (four different submaximal intensities: 10% and 15% of maximal power output; 80 and 150 Watts).Data are available for 80 participants (day 1). Reproducibility data (day 2) are available for 53 of these 80 participants.<br>
DOI: 10.17632/32cx2t8hhz
title: Effects of parity and early pregnancy on peripheral blood leukocytes in dairy cattle_supplementary data

description: We conducted two separate experiments to characterize changes in subsets of peripheral blood leukocytes (PBL) and their phenotype over the estrous cycle and early pregnancy in heifers and cows. The data presented include: the gating strategy for determining positive antibody labeling and antibody specificity (Figure S1), the expression of immune molecules in heifers from experiment 1 that were not affected by status and day (Figure S2), and the expression of immune molecules in cows from experiment 2 that were not affected by status and day (Figure S3).
DOI: 10.17632/jxgf4n3y6s
title: In Silico Database of In Vitro Tested Antiviral Compounds

description: Antivirals are drugs used to treat viral diseases by inhibiting the infection or replication of viruses. With the wide variety of viruses, it is crucial to constantly find new antiviral options. One approach is to reposition existing drugs, which is a more cost-effective and faster method than traditional research and development. The problem is that there is a lack of organized and standardized data on these drugs. This work aims to address this issue by creating a database of in vitro-tested antivirals. The information and compounds were collected from published in vitro antiviral studies. The database includes six different file formats (SMILES, MOL, SDF 2D, MOL2, PDB, and PDBQT) and categorizes the compounds based on their antiviral activity.
DOI: 10.6084/m9.figshare.16909453.v1
title: Immune cells

description: We characterized human and mouse immune cells in SARS-CoV-2 infected and uninfected <i>MISTRG6-hACE2</i>mice by flow cytometry to evaluate the cells that drive immunopathology and viral clearance.We reported frequencies (%) of cells at different times post-infection.
DOI: 10.6084/m9.figshare.24071103.v1
title: Supplementary Material for: Homeopathic Treatment of Ramsay Hunt Syndrome: A Case Report

description: Introduction: Ramsay Hunt Syndrome (RHS) is an uncommon neurological complication resulting from the reactivation of latent herpes zoster virus. The condition often presents with facial paralysis, palatal ulcers, dysphagia, and altered taste sensation, leading to reduced quality of life. Standard therapeutic options for RHS have limitations, prompting the exploration of alternative treatments with improved prognostic outcomes. This case report aims to present a noteworthy clinical observation of RHS managed with individualized homeopathic treatment, emphasizing its potential therapeutic efficacy. Case description: A 24-year-old female patient exhibited left-sided facial weakness, along with palatal ulcers, dysphagia, and ageusia, prompting the diagnosis of RHS. Following the principles of homeopathy, a personalized therapeutic regimen was formulated, consisting tailored administration of Rhus toxicodendron, Spigelia anthelmia, and Sulphur. The House-Brackmann scale was employed to objectively assess the severity of facial palsy, while photographic documentation tracked the progression of palatal ulcers and facial paralysis. Over a carefully monitored observation period of 14 days, the patient demonstrated notable therapeutic responses. There was a significant reduction in the extent of palatal ulceration, and left-sided facial palsy exhibited marked improvement. Subsequent days witnessed a consistent amelioration of the patient's condition, substantiating the effect of the individualized homeopathic treatment. Conclusion: This case report highlights an exceptional instance of RHS recovery within a relatively short timeframe, achieved through the administration of individualized homeopathic therapy. The favorable outcomes observed in this case underscore the potential of homeopathy as a promising alternative intervention for RHS management. Nevertheless, further systematic investigations are imperative to comprehensively evaluate the scope and applicability of homeopathy in the treatment of RHS.
DOI: 10.6084/m9.figshare.28926884.v1
title: Solid-state batteries enabled by ultra-high frequency self-heating

description: <b>Solid-state batteries enabled by ultra-high frequency self-heating</b>
DOI: 10.6084/m9.figshare.29118509.v4
title: Diels-Alder reaction space for self-healing polymer

description: This dataset supports the research presented in the paper *"Screening Thermally Reversible Diels-Alder Reactions for Self-Healing Polymers via Integrated Machine Learning and Reaction Profile Calculations"*, and includes high-throughput data related to the generation and analysis of Diels-Alder (DA) reactions. The reactions cover both synthetic diene-dienophile pairs and combinations derived from natural products, facilitating the study of key properties such as thermal responsiveness, reactivity, and reversibility. This dataset can support various research directions, including the design of self-healing polymers, modeling of reaction reversibility, exploration of reaction mechanisms, and development of machine learning models.
DOI: 10.6084/m9.figshare.12824249.v1
title: Training set and testing set of ECG signals

description: The collection contains 3121 ECG signals with 5,000 values each. ECG signals were generated using FLUKE “ProSim 4 Vital Sign and ECG Simulator”. Dataset counted 3121 signals. Each signal included 5 seconds and 5000 measurements (5 kHz). The collection includes the following categories of signals: Normal Rhythm, Atrial Fibrillation, Brachycardia, Premature ventricular contractions (PVC), Trachycardia, Ventricular tachycardia with heart rate &gt; 160 bpm (VTach-160bpm).
DOI: 10.6084/m9.figshare.1304202.v1
title: Carausius morosus in San Diego

description: List of hostplants for <em>Carausius morosus</em> from San Diego Zoo.
DOI: 10.6084/m9.figshare.13491147.v1
title: Basic quality statistics of GridION sequencing data

description: Basic quality statistics of GridION sequencing data
DOI: 10.6084/m9.figshare.14169575.v1
title: Dinosaur biodiversity declined well before the asteroid impact, influenced by ecological and environmental pressures

description: This zipped file contains:(1) Original database: it includes the dataset for each dinosaur family with species, fossil occurrences, ages, locality, and specimen number;(2) Paleo_environment_MBD: it includes the dataset for the 10 time-continuous paleo-environmental variables used for the MBD model in PyRate;(3) PyRate commands: it includes a command list of the Bayesian analyses performed on the dinosaur datasets using PyRate;(4) PyRate inputs: it includes the 9 datasets used as input files for estimating the diversification in PyRate;(5) PyRate outputs: it includes the files for the times of speciation and extinction (TsTe) for each dinosaur family, which are used in several PyRate analyses.<br>
DOI: 10.6084/m9.figshare.20010128.v1
title: IMC Ablated images histoCAT session

description: This is the histoCAT session of the ablated images of the DLBCL samples processed through the IMC technology associated with the manuscript "Single-cell spatial analysis of tumor immune architecture in diffuse large B cell lymphoma"
DOI: 10.6084/m9.figshare.26962171.v1
title: Datos, códigos y otros materiales.xlsx

description: Datos utilizados en revisión sistemática
DOI: 10.6084/m9.figshare.27284481.v1
title: Data from the paper "Seagrass organic carbon stocks are not correlated with seagrass abundance at local scale, but loss of seagrasses does lead to decrease in surficial sediment organic carbon at the seascape scale in Bermuda" in review for publication in Estuaries and Coasts

description: Excel spreadsheets containing the soil data for the paper "Seagrass organic carbon stocks are not correlated with seagrass abundance at local scale, but loss of seagrasses does lead to decrease in surficial sediment organic carbon at the seascape scale in Bermuda" in review for the journal Estuaries and Coasts.
DOI: 10.6084/m9.figshare.9996077.v1
title: Equity in Academia 2019

description: We hosted a one day event at St Catherine's College in Oxford in September 2019, supported by the Oxford University Nuffield Department of Medicine and Oxford Tropical Network Centres in Kenya, Vietnam and Thailand, to discuss and address challenges for equity and diversity in our working lives. <br>A short summary of the event is posted here, together with the day's programme of activities.<br>We plan to follow up with a written report of recommendations arising from the meeting.
DOI: 10.17605/osf.io/btwkr
title: Individual Differences in Responses to Hedonic versus Utilitarian Advertisements

description: Our experiment (N = 286) measured consumer goals and conversational tendencies, and then randomly assigned participants to see either a hedonic or utilitarian ad. Hedonic goal seekers and those with a greater fear of missing out showed a higher preference for hedonic advertisements, but conversational tendencies (the tendency to talk about the purchase category) did not create a difference in ad preference.
DOI: 10.17632/68rybbbdj5
title: Raman spectra of particles from Juara using a Raman spectrometer

description: Sample Description and Raman Measurement 
Raman measurements were conducted using a Horiba Raman system at Lund University. The system was equipped with multiple excitation laser wavelengths (532 nm, 633 nm, and 785 nm), which were optimized to enhance the identification and detection of microplastics. Calibration of the instrument was performed prior to all measurements to ensure spectral accuracy and reproducibility. The analyzed microplastic samples were collected from Juara and labeled as JB_S05_A_F_1, JB_S05_A_M_1, and JB_S05_B_M_1. Each sample was carefully examined to determine the optimal laser excitation that would minimize fluorescence interference while maximizing Raman signal intensity for reliable spectral interpretation.
DOI: 10.6084/m9.figshare.25824403.v1
title: Raw Data

description: Raw Images from dataset
DOI: 10.6084/m9.figshare.4286552.v1
title: GFB1_data_figshare.xlsx

description: Global Forest Biodiversity Initiative (GFBI)- Dataset Global#1. Data underpinning the Research Article entitled Positive Biodiversity–Productivity Relationship Predominant in Global Forests<br><br> Data Use Policy 1. GFBI reserves all the rights pertaining to these data; 2. Prior to any use of part of or the entire data set, one must fill out the accompanied Data Use Agreement and email the signed form to albeca.liang@gmail.com 3. The New Zealand sub-dataset (doi:10.7931/V13W29) are not included here. To download:<br>https://datastore.landcareresearch.co.nz/dataset/new-zealand-forest-plot-data-in-global-forest-biodiversity-dataset 4. The plot coordinates are rounded off to a single decimal place. To download the data set with the original plot coordinates, visit: http://www.gfbinitiative.org/data<br><br> Citation Liang, J., T. W. Crowther, N. Picard, S. Wiser, M. Zhou, G. Alberti, E.-D. Schulze, A. D. McGuire, F. Bozzato, H. Pretzsch, S. de-Miguel, A. Paquette, B. Hérault, M. Scherer-Lorenzen, C. B. Barrett, H. B. Glick, G. M. Hengeveld, G.-J. Nabuurs, S. Pfautsch, H. Viana, A. C. Vibrans, C. Ammer, P. Schall, D. Verbyla, N. Tchebakova, M. Fischer, J. V. Watson, H. Y. H. Chen, X. Lei, M.-J. Schelhaas, H. Lu, D. Gianelle, E. I. Parfenova, C. Salas, E. Lee, B. Lee, H. S. Kim, H. Bruelheide, D. A. Coomes, D. Piotto, T. Sunderland, B. Schmid, S. Gourlet-Fleury, B. Sonké, R. Tavani, J. Zhu, S. Brandl, J. Vayreda, F. Kitahara, E. B. Searle, V. J. Neldner, M. R. Ngugi, C. Baraloto, L. Frizzera, R. Bałazy, J. Oleksyn, T. Zawiła-Niedźwiecki, O. Bouriaud, F. Bussotti, L. Finér, B. Jaroszewicz, T. Jucker, F. Valladares, A. M. Jagodzinski, P. L. Peri, C. Gonmadje, W. Marthy, T. O’Brien, E. H. Martin, A. R. Marshall, F. Rovero, R. Bitariho, P. A. Niklaus, P. Alvarez-Loayza, N. Chamuya, R. Valencia, F. Mortier, V. Wortel, N. L. Engone-Obiang, L. V. Ferreira, D. E. Odeke, R. M. Vasquez, S. L. Lewis, and P. B. Reich. 2016. Positive biodiversity-productivity relationship predominant in global forests. Science 354.DOI: 10.1126/science.aaf8957 <br><br> <br>
DOI: 10.11583/dtu.17040767.v3
title: The SOLETE dataset

description: Author: Daniel Vázquez Pombo, ORCID: https://orcid.org/0000-0001-5664-9421The best way to contact me is through LinkedIn: https://www.linkedin.com/in/dvp/-------------------------------------------------------------------------------This item includes the SOLETE dataset which is disclosed in [1] to increase the transparency and replicability of [2, 3, 4].SOLETE includes 15 months measurements with different resolutions (from second to hourly) from the 1st June 2018 to 1st September 2019 covering: Timestamp, air temperature, relative humidity, pressure, wind speed, wind direction, global horizontal irradiance, plane of array irradiance, and active power recorded from an 11 kW Gaia wind turbine and a 10 kW PV inverter.The origin of the data is SYSLAB, part of DTU Wind and Energy Systems. If you want to learn more about the dataset check out [1].<br>You can use the SOLETE dataset with the codes available in GitHub: https://github.com/DVPombo/SOLETE/tree/main The different scripts have various functions. One allows to import SOLETE and show some plots. Another is a platform where you can play with different Machine Learning models for time series forecasting. The application focuses on predicting PV power, but it can be easily edited by the user.<br>The publications related to this item are:<br>[1] Pombo, D. V., Gehrke, O., & Bindner, H. W. (2022). SOLETE, a 15-month long holistic dataset including: Meteorology, co-located wind and solar PV power from Denmark with various resolutions. Data in Brief, 42, 108046.[2] Pombo, D. V., Bindner, H. W., Spataru, S. V., Sørensen, P. E., & Bacher, P. (2022). Increasing the accuracy of hourly multi-output solar power forecast with physics-informed machine learning. Sensors, 22(3), 749.[3] Pombo, D. V., Bacher, P., Ziras, C., Bindner, H. W., Spataru, S. V., & Sørensen, P. E. (2022). Benchmarking physics-informed machine learning-based short term PV-power forecasting tools. Energy Reports, 8, 6512-6520.[4] Pombo, D. V., Rincón, M. J., Bacher, P., Bindner, H. W., Spataru, S. V., & Sørensen, P. E. (2022). Assessing stacked physics-informed machine learning models for co-located wind–solar power forecasting. Sustainable Energy, Grids and Networks, 32, 100943.<br>To cite this item, I would appreciate if you use [1]. Alternatively, you can also use the following (but note that I won't get credit for it):@misc{Pombo2022SOLETE, author = "Daniel Vazquez Pombo", title = "{The SOLETE dataset}", year = "2023", month = "Apr", url = "https://data.dtu.dk/articles/dataset/The_SOLETE_dataset/17040767", doi = "10.11583/DTU.17040767", note = {Retrieved from {DTU-Data}, url{https://data.dtu.dk/articles/dataset/The_SOLETE_dataset/17040767}, {DOI}: {10.11583/DTU.17040767}},}<br>