cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wb925tdjvj
title: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 2

description: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 2
DOI: 10.4121/16574240.v1
title: OECD R&D Yearly Innovation Dataset

description: Historical dataset from OECD on R&D and Innovation indicators.<br>Source : Data extracted from OECD Database.<br>Use : Was used to study, and analyse innovation management indicators for industries across Countries with such available data. These set of data of R&D indicators or measures(expenditure, personnel) was to investigate innovation management using Data Analysis and applying Machine Learning Algorithm for data prediction.<br>To Use : For each Excel file, see description and meanings of parameters in "Notes" tab.Furthermore, for the specific R&D Expenditures and Personnel links :<br>R&D Expenditure: Business enterprise R&D expenditure by industry<br>R&D Personnel: R&D personnel by sector of employment and function
DOI: 10.6084/m9.figshare.14709816.v1
title: Vitis_Vinifera_TEs_curated.gff

description: Annotation of transposable elements in the Vitis vinifera PN40024 12X genome
DOI: 10.6084/m9.figshare.21792182.v1
title: Dataset of MOOCs on Green Energy

description: Dataset I Bibliometric Scopus Data on Green Energy and Online Education Dataset II Green Energy MOOCs Dataset III Discipline of Green Energy MOOCs Dataset IV Topics of Green Energy MOOCs Dataset V Reviews of Green Energy MOOCs
DOI: 10.6084/m9.figshare.7078031.v1
title: Skull of Megachirella (STL file)

description: STL file of the skull of Megachirella
DOI: 10.17632/5ktn29643y
title: IEEE_Researchpapers_OpenJournal

description: 2000 Research papers published by various authors on Sentiment Analysis in IEEE Conferences
DOI: 10.6084/m9.figshare.14183042.v1
title: Antibiotics and temperature interact to disrupt soil communities and nutrient cycling

description: Soils contain immense diversity and support terrestrial ecosystem functions, but they face numerous anthropogenic pressures. Understanding how soils will respond to multiple stressors is critical for maintaining biodiversity and function. Here, we examined how introductions of low and high doses of the livestock antibiotic Monensin shape soil communities, and how these effects are mediated by soil temperature. We found that antibiotics and rising soil temperatures interacted to disrupt bacterial communities and connectivity, allowing for a rise in fungal dominance and change in soil nutrient stoichiometry. Independent of temperature, antibiotics decreased bacterial diversity, abundance, total extractable N and microbial efficiency, while increasing bioavailable C. Higher temperatures independently homogenized fungal community composition, decreased dissolved organic C and increased soil respiration rates. These results emphasize that as soils encounter multiple stressors, ecosystem efficiency, stability and resilience may be diminished.
DOI: 10.6084/m9.figshare.26038639.v2
title: Data for 10.6084/m9.figshare.26038639

description: Data for 10.6084/m9.figshare.26038639
DOI: 10.6084/m9.figshare.921654.v1
title: Datamanagementplanning. Lesmateriaal RDM Ondersteuning basistraining voor informatiespecialisten sessie 2

description: Lesmateriaal voor sessie 2 van de RDM Ondersteuning basistraining voor informatiespecialisten. Dit lesmateriaal is ontwikkeld door Mariëtte van Selm in het kader van het project RDM Ondersteuning (2013-2015) van de Bibliotheek van de Universiteit van Amsterdam (UvA).
DOI: 10.17632/djr4xfp3t8
title: Self-Efficacy for Computer Programming

description: This dataset features two survey data sets and interview transcripts.
DOI: 10.6084/m9.figshare.14755077.v2
title: Raw.Data.xlsx

description: <pre>Database corresponding to the study entitled "Lean mass and biological maturation as predictors of muscle power and strength performance in young athletes".<br></pre><pre></pre>
DOI: 10.6084/m9.figshare.16592819.v1
title: A Chickpea Pan-genome

description: A chickpea pan-genome to describe genomic diversity across cultivated chickpea and its wild progenitor accessions.
DOI: 10.6084/m9.figshare.18715460.v2
title: Resilience_database_FINALforpublicationJan2022.xlsx

description: Dataset linked to Resilience Paper submitted to JOOP.
DOI: 10.6084/m9.figshare.24466228.v1
title: Supplementary Material for: Retroperitoneal Hematoma as an Atypical Presentation of Choriocarcinoma: Case Report

description: A 38-year-old female with an etonogestrel implant in place and history of previous ectopic pregnancy presented with acute abdominal pain and vaginal bleeding. She was found to have a beta-Hcg of &gt;12,000 mIU/mL and free fluid noted on a focused assessment with sonography in trauma (FAST) exam. She underwent an emergent diagnostic laparoscopy due to the suspicion of a ruptured ectopic pregnancy. Findings at the time of surgery included normal appearing uterus and left fallopian tube, a surgically absent right fallopian tube and large volume hemoperitoneum with a rapidly expanding left retroperitoneal hematoma. A post-operative computed tomography (CT) angiogram suggested active bleeding from a pseudoaneurysm of the left renal artery which was successfully embolized by interventional radiology (IR). Biopsy confirmed gestational trophoblastic neoplasia (GTN) after metastases to the brain. In this report, we describe the details of this case of GTN with an atypical presentation.
DOI: 10.6084/m9.figshare.11678265.v1
title: 16S rRNA gene based alignment

description: The 16S rRNA gene sequence from the genome assembly was extracted from RAST by searching for ‘ssu rRNA’ in the function search of the SEED genome browser. Following the protocol outlined in Dunitz et al. (2015), the sequence was uploaded to the Ribosomal Database Project (RDP) and grouped with all sequences in the Pasteurellaceae family and one chosen outgroup, Agarivoran spp., to root the tree. The taxon names from the RDP output file were manually cleaned up and used to build a phylogenetic tree with the program FastTree.
DOI: 10.6084/m9.figshare.19222473.v1
title: Italian understorey plants

description: Presence/absence of Italian forest understorey species in the Alpine, Continental and Mediterranean regions of Italy, aboveground and belowground functional traits, and 1000 possible phylogenetic trees.
DOI: 10.6084/m9.figshare.19623594.v1
title: Data from Post-survey

description: Dataset for post-survey data (after required LinkedIn assignment); provided in Excel spreadsheet (.xlsx).
DOI: 10.6084/m9.figshare.26035864.v2
title: Pmes_MAKER

description: Gene annotation with MAKER for Piaractus mesopotamicus genome.
DOI: 10.6084/m9.figshare.4758004.v2
title: UKCP-100-extension.xml

description: Dataset that includes 100 terms from the UKCP lexicon. This is written in LMF format in order to be compatible with WordNet.<br>This resource has been developed to extend WordNet with Emergency Response (ER) terminologies and so to improve semantic matching between organisations in ER scenarios<br><br>
DOI: 10.6084/m9.figshare.801878.v7
title: Dataset used in "Species determination of Culicoides biting midges via peptide profiling using matrix-assisted laser desorption ionization mass spectrometry"

description: This fileset contains the complete data to reproduce the analysis described in: K. R. Uhlmann, S.Gibb, S. Kalkhof, U. Arroyo-Abad, C. Schulz, B. Hoffmann, F. Stubbins, S. Carpenter, M. Beer, M. von Bergen, R. Feltens. 2013. <em>Species determination of Culicoides biting midges via peptide profiling using matrix-assisted laser desorption ionization mass spectrometry.</em> [submitted] Included files: <em>smm.zip: </em>SMM spectra (Bruker fid files) from <em>C. dewulfi, C. newsteadi, C. nubeculosus, C. obsoletus, C. pulicaris, C. punctatus, C. scoticus</em> <em>referencetable.csv: </em>mapping between SMM spectra and species/individuals <em>pcr.fasta: </em>PCR results (mt-COX1; barcoding gene) of each individual <em>drosophila_melanogaster-reference_proteome.fasta: Drosophila melanogaster </em>reference proteome (downloaded from the UniProt Database, 2013-08-15: http://www.uniprot.org/uniprot/?query=organism:7227+AND+keyword:1185) <em>figure7.zip: </em>a SMM and an IPP spectrum (Bruker fid files) for a comparative plot
DOI: 10.17632/6tdfpwnkrw
title: Data for: Smoothed LSDV Estimation of Functional-Coefficient Panel Data Models with Two-Way Fixed Effects

description: The data are from Millimet, List and Stengos (2003, Review of Economics and Statistics).
DOI: 10.17632/zncrtr2yhn
title: CUCUMBER

description: The dataset consists of over 500 images of cucumbers (Cucumis sativus L), categorized into two classes: "good" and "bad." These images were captured using a Xiaomi 11i mobile camera against a black background under daylight conditions.

**Data Description:**

1. **Classes:**
 - Good: Represents healthy cucumbers exhibiting desirable characteristics such as uniform shape, color, and absence of blemishes or deformities.
 - Bad: Encompasses cucumbers displaying signs of damage, disease, or other undesirable traits such as discoloration, rot, bruises, or irregular shapes.

2. **Image Collection:**
 - The dataset comprises over 500 images, with a substantial number depicting both good and bad instances of cucumbers.
 - Images were captured under consistent lighting conditions to maintain uniformity and minimize environmental variability.
 - A black background was used to enhance cucumber visibility and isolate the subject.

3. **Data Source:**
 - Images were captured using a Xiaomi 11i mobile camera, ensuring consistent image quality and resolution throughout the dataset.
 - Daylight conditions were chosen to provide natural lighting, reducing artificial effects on cucumber appearance.

4. **Annotation:**
 - Each image is labeled according to its class (good or bad), facilitating supervised learning tasks.
 - Annotations may include bounding boxes or masks delineating the cucumber area to aid in localization tasks.

5. **Data Preprocessing:**
 - Preprocessing steps such as resizing, normalization, and background removal may have been applied to the images to enhance model performance and reduce computational complexity.
 - Metadata such as image resolution, format, and capture settings may accompany the dataset for reference.

6. **Data Distribution:**
 - The dataset maintains a balanced distribution between good and bad cucumbers, ensuring equal representation of both classes.
 - Randomization techniques may have been employed during data collection and organization to mitigate biases in model training.

7. **Potential Applications:**
 - The dataset can be utilized for various machine learning tasks, including classification, object detection, and image segmentation, particularly in the agricultural domain.
 - Applications may include automated sorting systems for cucumber quality control, disease detection, and crop management.

8. **Limitations:**
 - Despite efforts to ensure data consistency and quality, variations in lighting conditions, camera angles, and cucumber orientation may introduce some level of variability.
 - The dataset primarily focuses on cucumbers of Cucumis sativus L and may not generalize well to other cucumber varieties or environmental conditions.
DOI: 10.6084/m9.figshare.22491223.v1
title: Supplementary NCM .xlsx

description: supplementary table for NCM OTUs
DOI: 10.6084/m9.figshare.22734056.v1
title: Deus ex machina tool - Confusion matrix computation analyses

description: Deus ex machina tool - Confusion matrix computation analyses <br> The <em>Deus ex machina</em> code is available on GitHub via this link: https://github.com/code56/ontologiesreproducibility.git Briefly, the code performs semantic annotations on PDF articles and their associated ArrayExpress XML files and computes a Reproducibility Metric Score (RMS) based on various assessment parameters. The case studies are in the field of wheat crop transcriptomics. The accuracy of the Deus ex machina tool of correctly annotating the Plant Ontology terms within wheat transcriptomic articles, was assessed by comparing the manually annotated results and the automatically annotated results, produced by the Deus ex machina tool, with the help of a confusion matrix. The Excel file has 3 tabs that show in detail all the computation analyses (manual annotation of the papers) and the automatic annotation results by the Deus ex machina tool. Some terms were not possible to assign a specific ontology term with confidence (this is the issue where authors did not clarify the terms and describe their research using standardised ontology terms), and these terms are denoted clearly in the computation analysis file. Nonetheless, as the terms were only a few, they do not affect the results of the confusion matrix to any significant degree.
DOI: 10.6084/m9.figshare.25757274.v1
title: Data for review

description: Dataset for paper https://doi.org/10.1016/j.cub.2025.04.038 , 'Evolution of far-red light photoacclimation in cyanobacteria'. Contains relevant MAGs, gene alignments, gene clusters.
DOI: 10.6084/m9.figshare.6931364.v1
title: DepMap Achilles 18Q3 public

description: This dataset contains the results of screening 485 cancer cell lines with the Avana CRISPR-Cas9 genome-scale knockout library generated as part of the Broad Institute's Cancer Dependency Map project. It includes the results 49 lines not previously made public. <br><br>As our screening efforts continue, we will be releasing additional cancer dependency data on a quarterly basis for unrestricted use. For the latest datasets available, further analyses, and to subscribe to our mailing list visit https://depmap.org. <br>Descriptions of the experimental methods and the CERES algorithm are published in http://dx.doi.org/10.1038/ng.3984. Some cell lines were process using copy number data based on the Sanger Institute whole exome sequencing data (COSMIC: http://cancer.sanger.ac.uk.cell_lines, EGA accession number: EGAD00001001039) reprocessed using CCLE pipelines.<br><br><br><br><br>
DOI: 10.17632/6n8cv6st4s
title: Unstable coronary artery plaque features in humans are associated with higher frequency of circulating CD56bright Natural Killer Cells

description: Publicly available CyTOF and clustering data for a manuscript published with the Journal of Vascular Research (under the same title).
DOI: 10.17632/5tc2c26w8m
title: Bio-oil production from low-rank coal by catalytic microwave pyrolysis using reservoir rock and activated carbon catalyst

description: To manage environmental challenges, clean coal technology is still urgently required. Low-rank coal (LRC) dominates the global coal industry. An improved method to turn LRC into clean energy, such as biooil, is microwave pyrolysis (MP). Low heating efficiency and the dominance of heavy tars in the end products are the key pyrolysis problems, nevertheless. In this investigation, MP was employed to treat LRC using the catalysts and receptors RC+Fe2(SO4)3 and AC+Fe2(SO4)3, respectively. The distribution of the product and the process variables (time, temperature, and power) were evaluated. According to the results, RC+Fe2(SO4)3 and AC+Fe2(SO4)3 changed the distribution of the product by increasing up the rate of temperature rise and ultimate temperature of MP. Bio-oil produced from MP+1.0%RC+24.6%Fe2(SO4)3 was 40.0%, 4.4% higher than the conventional pyrolysis (CP), when compared to CP at the same conditions (620 °C and 60 min). Using MP+1.0%AC+24.6%Fe2(SO4)3, 44.4% bio-oil was generated while there was an 8.8% increase overall. The maximum bio-oil production with 1.0%RC+24.6%Fe2(SO4)3 was observed at 60 min, 620°C, and 600W, producing 41.9% bio-oil. The maximum bio-oil production was seen using 1.0%AC+24.6%Fe2(SO4)3 at 120 min, 620 °C, and 450W, producing 49.2% bio-oil. The outcomes of the studies could serve as a foundation to produce clean fuels in the future that use LRC to lower carbon emissions globally
DOI: 10.17632/tngcbb65gb
title: RBTUR BRASILxURUGUAY

description: Dados da pesquisa publicada na Revista Brasileira de Pesquisa em Turismo
DOI: 10.17632/vrm23bnfmj
title: The analytical Scheme calculator for angular momentum coupling and recoupling coefficients

description: Abstract We describe a Scheme implementation of the interactive environment to calculate analytically the Clebsch–Gordan coefficients, Wigner 6j and 9j symbols, and general recoupling coefficients that are used in the quantum theory of angular momentum. The orthogonality conditions for considered coefficients are implemented. The program provides a fast and exact calculation of the coefficients for large values of quantum angular momenta. Title of program: Scheme2Clebsch Catalogue Id: ADWC_v1_0 Nature of problem The accurate and fast calculation of the angular momentum coupling and recoupling coefficients is required in various branches of quantum many-particle physics. The presented code provides a fast and exact calculation of the angular momentum coupling and recoupling coefficients for large values of quantum angular momenta and is based on the GNU Library General Public License PLT software [1]. Versions of this program held in the CPC repository in Mendeley Data ADWC_v1_0; Scheme2Clebsch; 10.1016/j.cpc.2005.06.003 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.12593480.v4
title: LES of a classical hydraulic jump

description: This dataset contains results from Large-Eddy Simulations of a classical hydraulic jump at Fr=2. It accompanies the following article:<br>T. Mukha, S. K. Almeland, and R. E. Bensow. LES of a classical hydraulic jump: Influence of modelling parameters on the predictive accuracy. 2020.<br><br>Kindly, cite the article if you make use of the data.<br>The data for each case in the article is found in the associated zip archive. For example, for the simulations using MULES, dx2 and 10% upwinding, the name is mules_dx2_lu10.zip.Inside each such zip file there is the following:- A .vtm file containing full averaged 2d fields. Can be opened with paraview or turbulucid.<br>- The r_z_* files containing two-point correlations in the spanwise direction.- The spectra directory containing the computed time-spectra.- The probes_* files, containing the probes data which was used to compute the spectra and the acfs.- The probes_resampled_* files, containing the same probe data but resampled to evenly distributed time-values, with 0.001 s between the samples.<br>The leaked_air.hdf5 file contains the sampled signals for the volume of leaked air, for all cases.<br>The leaked_air_resampled.hdf5 contains the same data but resampled to evenly distributed time-values, with 0.001 s between the samples.<br>The cases archive contains OpenFOAM setup files for simulations on all four meshes. To run the cases, blockMesh should first be used to construct the mesh followed by topoSet to define the cellSet used for sampling the volume of leaked air. To reproduce a particular case, adjust the settings wit respect to the amount of upwinding and then run interFoam for MULES and interIsoFoam for the isoAdvector VoF. OpenFOAM v1806 is used in the paper, but later versions should, in principle, also work.<br>The two interface_animation_data archives contains a series of VTK files containing the air-water interface surface, which can be used to look at the interface dynamics. The data is extracted from the benchmark simulation.<br><br>Finally, the videos archive contains rendered animations of the vtk files.<br><br>
DOI: 10.6084/m9.figshare.14378960.v1
title: Gene database of Pseudomonas lactis strain SS101

description: This work presents the gene database of <i>Pseudomonas lactis</i> that comprises gene name, gene function, and gene sequence of all genes in the genome of the microorganism. Using annotated genome data of <i>P. lactis </i>from Genbank and an in-house MATLAB genome analysis software, the gene database was built to provide foundational information for understanding the metabolism of the bacterium, with implications in human health and disease settings.
DOI: 10.6084/m9.figshare.24179913.v1
title: chexnetClassification.h5

description: weights chexnet
DOI: 10.6084/m9.figshare.7648271.v1
title: Additional file 2: of Expression profile of microRNAs in porcine alveolar macrophages after Toxoplasma gondii infection

description: Table S2. List of miRNA targets identified by miRanda. (XLSX 1247 kb)
DOI: 10.6084/m9.figshare.12167745.v1
title: Supporting R Code from Effect of urban habitat use on parasitism in mammals: a meta-analysis

description: R code supporting the meta-analysis
DOI: 10.6084/m9.figshare.28766860.v1
title: Additional file 1 of Maximizing horizontal transmission through mating: increased mating frequency and mating competitiveness associated with Microsporidia MB-infected Anopheles arabiensis males

description: Additional file 1
DOI: 10.17632/3v2nrxpr9s
title: PCMMD: Plasma Cells for Multiple Myeloma Diagnosis

description: PCMMD (Plasma Cells for Multiple Myeloma Diagnosis) is an important resource for training and validating Artificial Intelligence (AI) approaches to automate cell identification, supporting studies on MM in developing countries, and discovering approaches regarding other diseases affecting various cell types in diverse populations. The dataset is organized into three sets of cells stained with Wright-Giemsa:

- The first set contains 3,546 cells, with 54% labeled as non-plasma and 46% as plasma cells;
- The second set includes 2,021 cells organized by patients, along with their respective diagnoses;
- The third set comprises 1,615 plasma and 1,931 non-plasma cells, individually segmented without background.

All sets were used to train Deep Neural Network models, whose details and parameters are detailed in the following repository:

https://github.com/LabIA-UFBA/MMDB
DOI: 10.6084/m9.figshare.28919981.v1
title: Data_Lake_Angre.xls

description: Basic data for the manuscript "<b>How can environmental heterogeneity drive sympatric diversification in lacustrine fishes?"</b>
DOI: 10.6084/m9.figshare.3552126.v1
title: Appendix C. Competitive ability in the Monod model.

description: Competitive ability in the Monod model.
DOI: 10.17632/g4sb5pdtyy
title: Cellular spermine targets JAK signaling to restrain cytokine-mediated autoimmunity. Xu et al

description: Original data from the images and western blots from the paper: Cellular spermine targets JAK signaling to restrain cytokine-mediated autoimmunity.
DOI: 10.17632/gpytf8x3ys
title: A multimodal approach to chaotic renewable energy prediction using meteorological and historical information

description: Wind energy, which exhibits non-stationarity, randomness, and intermittency, is inextricably linked to meteorological data. The wind power series can be broken down into several subsequences using data decomposition techniques to make forecasting simpler and more accurate. Because of this, a single prediction model does not perform well in extracting hidden information from each subsequence. To predict different frequency series, this research employed shallow and deep learning models and proposed an improved hybrid wind power prediction model based on secondary decomposition, extreme learning machines (ELM), convolutional neural networks (CNN), and bidirectional long short-term memory (BiLSTM). To begin, secondary decomposition was employed to break down the wind power series into several components. The ELM was used to forecast the low-frequency components. Following that, CNN was utilized to reintegrate the input characteristics of the high-frequency components, followed by BiLSTM prediction. Finally, the forecasting values for each component were added to generate the final prediction results.


Requirements:
Python 3.6.x
TensorFlow 1.19.0
Numpy 1.19.5
Pandas 1.0.5
Keras 2.2.5
scikit-learn 0.23.1
Matplotlib 3.2.2


Reference: 
The detailed information of CEEMDAN and VMD are shown in:
https://github.com/vrcarva/vmdpy
https://github.com/laszukdawid/PyEMD


Data availability:
Supplementary data to this research can be found online at https://opendata-renewables.engie.com