cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9g2grrwm4m
title: The CCR6–CCL20 axis promotes regulatory T cell glycolysis and immunosuppression in tumors

description: Data accompanying the manuscript "The CCR6–CCL20 axis promotes regulatory T cell glycolysis and immunosuppression in tumors"-- includes RNA-Seq of sorted murine Tregs from WT and Ccr6 KO mice. 
The experiment was designed to compare transcriptomic differences between WT and Ccr6 KO Tregs during activation. WT and Ccr6 KO Tregs, cells were isolated from mice and cultured in vitro for 3 days with activation using anti-CD3/CD28 beads. Total RNA was extracted using the Trizol method. Quantity and quality were assessed using a Thermo Scientific™ NanoDrop™ 2000/2000c Spectrophotometer. Novogene Corporation Inc prepared the RNA-seq 250-300 bp insert cDNA library. Illumina HiSeq platform PE150 sequencing was used for sequencing, yielding 20M raw reads/sample. Mus Musculus mm39 was used as the reference genome for alignment.
DOI: 10.6084/m9.figshare.21396729.v1
title: Comparative Tables of Bee Diversity Visiting Agalinis

description: Bee diversity visiting flowers of <em>Agalinis</em> species categorized by bee family. The list of bees was derived from 15 published surveys in addition to field investigations by Gregg Dieringer and Leticia Cabrera R. from 1983-2019.
DOI: 10.6084/m9.figshare.28334312.v1
title: analysis software Version 17, Feb 2025

description: Geolocation analysis and system design using Monte-Carlo and Considered covariance analysis
DOI: 10.6084/m9.figshare.4893323.v2
title: Picidae Dataset.zip

description: The proposed dataset contains 1669 labeled audio files from the following Picidae species doing 3 types of birdsongs: call, drumming and song. Audio data are organized in thirteen folders: twelve containing the labeled audios of each birdsong type from every Picidae specie listed in what follows and one folder containing the background sound samples. <br>1- DendrocoposLeucotos - call.2- DendrocoposLeucotos - drumming.3- DendrocoposMajor - call.4- DendrocoposMajor - drumming.5- DendrocoposMedius - call.6- DendrocoposMedius - song.7- DendrocoposMinor - call.8- DendrocoposMinor - drumming.9- DryocopusMartius - call.10- DryocopusMartius - drumming.11- JynxTorquilla - song.12- PicusViridis - song.13- Silence (or background noise).Licence type: CC-BY-SA
DOI: 10.17632/hnxnpvcmr4
title: Data for: Acute Hyperglycemia may Impair Driving Skills of Young type 1 Diabetes Mellitus Patients

description: Driving scenarios
DOI: 10.4121/uuid:ba33fc56-e07b-4547-9630-9b1565d18040
title: Data underlying the publication: Applying transfer function-noise modelling to characterize soil moisture dynamics: a data-driven approach using remote sensing data

description: This dataset includes the input data, Python scripts, and Pastas model output for the scientific manuscript "Applying transfer function-noise modelling to characterize soil moisture dynamics: a data-driven approach using remote sensing data". The manuscript is currently under review. The data covers the years 2016, 2017, and 2018. We refer to the readme file included in the dataset for further details.
DOI: 10.17632/2kmd44p8jf
title: Reanalysis-derived Radius of Outermost Closed Isobar Data: 1948 - 2022

description: This repository contains the final version of Radius of Outermost Closed Isobar (ROCI) data generated from the NCEP/NCAR Reanalysis I dataset, as published in Thompson et al. (2024). For more information, consult the README file and the manuscript.
DOI: 10.17632/srpypxgr7k
title: Data for: Fostering the transfer of empirical engineering knowledge under technological paradigm shift: an experimental study in conceptual design
DOI: 10.6084/m9.figshare.21514116.v5
title: PhysiCell Multiscale Immune Surveillance Dataset for Micrometastases

description: An ensemble of PhysiCell simulations of a multiscale model of immune surveillance in micrometastases. Computational model and data analysis are available at https://github.com/heberlr/micromets_immuno.Attention: In this dataset, when interpreting cell annotations, replace 'lung cells' with 'parenchyma cells'. It's important to note that this modification does not impact the analysis results. Originally, the dataset was based on an initial hypothesis suggesting a focus on lung tissue, but the current interpretation categorizes it as general epithelial tissue.
DOI: 10.6084/m9.figshare.21780527.v1
title: Chromosome-level genome assembly of Zoroaster sp.

description: <strong>Zoroaster.cds:</strong> Genome annotation <strong>Zoroaster.pep:</strong> Genome annotation <strong>Zoroaster.gff:</strong> Genome annotation <strong>expansion.gene:</strong> Expansion genes <strong>Zoroaster.InterProscan.gff3:</strong> InterProScan annotations for predicted genes <strong>total.repeat.gff:</strong> Repeat annotation <strong>Zoroaster.Nr.gene:</strong> NR annotations for predicted genes <strong>Zoroaster.SwissProt.submit.gene:</strong> Swissprot annotations for predicted genes <strong>Zoroaster.pfam.results:</strong> Pfam annotations for predicted genes <strong>expansion.GO.submit.xlsx:</strong> Expansion gene GO enrichment
DOI: 10.6084/m9.figshare.28926803.v1
title: Appendix 2 y 3

description: The following appendices present the validated instruments.
DOI: 10.6084/m9.figshare.7523060.v1
title: fibroblast analysis

description: fibroblast analysis
DOI: 10.6084/m9.figshare.15062628.v1
title: Merged Dataset - mtDNA in Tumor

description: Dataset generated and analyzed in the work entitled "Mitochondria in Tumor Progression: A Network of mtDNA Variants in Different Types of Cancer" by Cavalcante et al. More details are found in the article
DOI: 10.15468/dl.rwajvp
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Perideridia oregana (Nutt. ex Torr. & A.Gray) Mathias",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 102 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013088-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/g6jkmk666s
title: Integrating a choice experiment into an agent-based model to simulate climate-change induced migration: The case of the Mekong River Delta, Vietnam

description: Stata files for the data used in Integrating a choice experiment into an agent-based model to simulate climate-change induced migration: The case of the Mekong River Delta, Vietnam by Tra Thi Trinh and Alistair Munro.  Please note that this is part of a larger dataset used by researchers at our institute (National Graduate Institute for Policy Studies or GRIPS), and that only parts of the dataset relevant to our results are posted here. NetLogo code of our simulations is attached.  Some part of the STATA code that is essential to replicate our estimation is also posted. Other data and code that are not posted here will be made available on request.
DOI: 10.6084/m9.figshare.19448531.v2
title: A transcriptomic axis predicts state modulation of cortical interneurons

description: This data release contains the in vivo neural recordings (using two-photon calcium imaging) and post-hoc transcriptomic information for &gt;1000 inhibitory cells in mouse primary visual cortex. This data consists in 4 animals and 17 recording sessions, during spontaneous activity and presentation of visual stimuli (drifting gratings, natural images). <br> DatasetTypes.xlsx provides useful information about the dataset. <br> 2022-10-31: The XY position given by neuron.stackPos was wrong, neuron.stackPosCorrected now gives the correct alignment between sessions. <br> If you use these data in a paper, please cite the original research paper, as well as this dataset using the figshare doi.<br>
DOI: 10.17632/2mdz4k29rr
title: DESENVOLVIMENTO DO CANSAT ÁQUILA PARA MONITORAMENTO AMBIENTAL E SENSORIAMENTO REMOTO

description: Trabalho apresentado ao III Simpósio Gaúcho de Engenharia Aeroespacial e Mecânica, Santa Maria, RS, Brasil.
DOI: 10.17632/362pt453ph
title: Data for: Measuring China’s Monetary Policy Uncertainty and Its Impact on the Real Economy

description: Estimated MPU and data for subsequent VAR analysis
DOI: 10.6084/m9.figshare.29135669.v1
title: Ocean deoxygenation after the Sturtian Snowball

description: Geochemical data related to the manuscript 'Ocean deoxygenation after the Sturtian Snowball'.
DOI: 10.17632/9zvhjctwh3
title: Supplementary data for: "Comparing generative process synthesis approaches with superstructure optimization for the conception of supercritical CO2 Brayton cycles"

description: Supplementary data for the publication  "Comparing generative process synthesis approaches with superstructure optimization for the conception of supercritical CO2 Brayton cycles" (by Antonio Rocha Azevedo, Tahar Nabil, Valentin Loubière, Romain Privat, Thibaut Neveux and Jean-Marc Commenge), currently under peer review. The pre-print of the paper may be found at: https://www.ssrn.com/abstract=5200900

This includes:
- A dataset of &gt; 400.000 randomly generated power cycles (Random_SFILES_all.csv), in both the SFILES 2.0 and modified SFILES notations discussed in the article;
- Results of the generative process synthesis approaches (Evolutionary Programming and Machine Learning). It contains data for all generated cycles which have a positive cycle efficiency and an LCOE under 200$/MWh (= 3.62 in the normalized values presented in the publication)). Datasets are named according to experiment name and objective function optimized. 
All datasets include, for each process:
 • Efficiency and LCOE values (attention to the objective function being optimized);
 • The total number of simulations run during optimization;
 • Real time elapsed during optimization (hours);
 • CPU time elapsed during optimization (hours);
 • [Machine Learning only] Modified SFILES generated by the model;
 • SFILES 2.0 and modified SFILES representations for the optimized process;
 • A "parameter SFILES 2.0" representation of the process, which embeds unit operation parameters into the SFILES 2.0 string (modified SFILES representations are not available as we may not guarantee that its syntax is completely respected). For more information and examples, check the README.txt file;
 • SFILES 2.0 and modified SFILES representation of the post-treated process (after bypassed units and branches are removed, according to the procedure described in the manuscript's supplementary material);
 • [Evolutionary Programming only] The generation in which the process is generated;
 • [Machine Learning only] The iteration in which the process is generated.
- UnitsData.json, which includes the unit operation parameters involved in simulation and optimization, as well as their default values and bounds;
- A README.txt with examples on how to read UnitsData.json and parameter SFILES.

Notes: 
- Post-treated SFILES may eventually contain errors/not accurately represent the underlying process, as the post-treatment procedure is done automatically.
- When conversion to modified SFILES was not possible, the associated entry from the SFILES 2.0 column is used.
- In case of errors with the generation of the SFILES representation (e.g., for evolutionary approach results or during post-treatment), the "(null)(out)" SFILES placeholder isused (represents an empty process).
DOI: 10.6084/m9.figshare.26779969.v2
title: CAS-Canglong model and data

description: SST model with data
DOI: 10.6084/m9.figshare.96386.v1
title: Effect of storage on the three blood forms nitrate concentration

description: Effect of storage on nitrate concentration in blood stored for 42 days in room air (4A) or an argon chamber (4B); number of donors, n=3 (A), n=3 (B). To view the data behind the graphs, access 'show all items' above.
DOI: 10.6084/m9.figshare.9971246.v1
title: All Sky Camera Images, Svalbard, 2 October 2017

description: All Sky Camera images from the Sony a7s camera at the Kjell Henriksen Observatory, Svalbard. The timestamps are available in the file name in LYR-Sony-DDMMYY_HHMMSS.jpg format. The images span from October 2 2017 01:00 UT - 01:20 UT. An intensification in the aurora potentially linked with a flow channel is noted from approximately 01:10-01:17 UT.
DOI: 10.6084/m9.figshare.22318312.v2
title: Tripadvisor tourist review English

description: This is the data set of English reviews used to analyse the results from 'Identifying the role of intangible cultural heritage in distinguishing cities: A social media study of heritage, place, and sense in Guangzhou, China'.
DOI: 10.6084/m9.figshare.28956257.v1
title: Collection of data measured with simplified radiometric goniometer

description: Dataset used for generating figures in the manuscript <b>"Hidden Far-Field Beam Profile Artifacts in Wide-Angle Radiometric Goniometry"</b> by S. A. Lukasik and L. A. Sterczewski. Author of the dataset: Sara A. Lukasike-mail: sara.lukasik@pwr.edu.plDate: 2025/05/28License: Creative Commons Attribution 4.0 LicenseL. A. Sterczewski and S. A. Lukasik acknowledge funding from the European Union (ERC Starting Grant, TeraERC, 101117433).Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
DOI: 10.6084/m9.figshare.4555783.v1
title: Planetary wave index

description: The data provided at this page includes the planetary wave index (PWI) of Irving and Simmonds (2015), the zonal wave three (ZW3) index of Raphael (2004) and a simple meridional index (MI) that is the average magnitude of the meridional wind over the interval 40-70S.<br><br>All three were calculated using monthly timescale 500 hPa meridional wind (for PWI and MI) or 500 hPa geopotential (for ZW3) data from the ERA-Interim project:<br>http://apps.ecmwf.int/datasets/data/interim-full-moda/levtype=pl/<br><br>The code referred to in the global history attribute of each file can be found at:<br>https://github.com/DamienIrving/climate-analysis<br><br>and the details of the software environment in which that code was run at:<br>https://anaconda.org/DamienIrving/wisconsin/files<br><br>I've also been playing around with some basic visualisation and analysis of the data, which can be found at:<br>https://github.com/DamienIrving/climate-analysis/blob/master/development/wisconsin.ipynb<br><br><br>Irving D, Simmonds I (2015). A novel approach to diagnosing Southern Hemisphere planetary wave activity and its influence on regional climate variability. <em>Journal of Climate</em>. 28, 9041-9057. doi:10.1175/JCLI-D-15-0287.1<br><br>Raphael M (2004). A zonal wave 3 index for the Southern Hemisphere. <i>Geophysical Research Letters</i>, 31, L23212. doi:10.1029/2004GL020365<br><br><br>
DOI: 10.7294/14849748.v1
title: Social Networks in Georgian Britain

description: <p>Social Networks in Georgian Britain (SNiGB) originated in 2008 when it began as the prosopography for Lord Byron and his Times (LBT), an archive of printed letters and diaries by and about Byron’s associates encoded in TEI-XML and rendered as the website LordByron.org using XSLT transformations and XPath queries. These records, used to generate footnotes, included links to name authority files such as the Library of Congress, National Archive (UK), National Portrait Gallery (UK), Oxford Dictionary of National Biography (ODNB), and the Virtual International Authority File (VIAF). In 2014, the LBT prosopography became an XML relational database with the addition of a demographic file containing fields for place of origin and professions, with linked information about family members, educational institutions, and correspondents. Fields were hand-coded using TEI elements and included place of origin, professions, and correspondents.</p><p><br></p><p>From 2008 to 2012, the LBT website was hosted by Performant Software in Charlottesville, and sponsored by NINES; in 2012 web hosting was transferred to Virginia Tech University Libraries (VTUL). </p><p><br></p><p>Dr. Radcliffe has since added an additional 10,000+ names to the original project. This final version of SNiGB content comprising over 37,000 names has been exported into individual XML files by person and organization for the purposes of access, text mining, and reuse.</p><p><br></p>
DOI: 10.17632/rsknb2b8z6
title: Data for Analysis of rice (oryza sativa l.) bioeconomy: a DEA approach to economy efficiency

description: This dataset comprises efficiency assessment data from 610 rice (Oryza sativa L.) production units in Ecuador during the 2019 agricultural cycle. The data was collected through a nationally representative survey and includes key production and economic variables such as total income, total costs, land area, irrigation, seed use, input prices, farmer age, education level, and farming experience.

The study employs Data Envelopment Analysis (DEA) models under both Variable Returns to Scale (VRS) and Constant Returns to Scale (CRS) frameworks in an input-oriented approach. The Bootstrap method was applied to estimate confidence intervals, providing robust efficiency scores. Efficiency measurements include Technical Efficiency (TE), Allocative Efficiency (AE), and Cost Efficiency (CE), with scores ranging from 0.218 to 1.185.

The dataset offers valuable insights into the efficiency levels of Ecuadorian rice producers and serves as a foundation for further research on agricultural optimization, bioeconomic performance, and policy recommendations.
DOI: 10.6084/m9.figshare.23996628.v3
title: Stem_fNIRS

description: Behavioral and fNIRS data
DOI: 10.17632/nk34hbd6bv
title: Tourism GDP and Okun's misery index: Data for Mexico 

description: These data have been used to study the relationship between tourism GDP and Okun's misery index. I provide the data to build the misery index (unemployment and inflation), an excel document presenting the misery index, the dummy variables utilized in the ARDL and NARDL, tourism GDP (volume index) and an EViews file with the ARDL, NARDL and Toda-Yamamoto test results. The NARDL was estimated using the NARDL EViews add-in.
DOI: 10.17632/zv6xrjxftw
title: The landscape of somatic mutation in normal colorectal epithelial cells

description: Data to support the manuscript "The landscape of somatic mutation in normal colorectal epithelial cells", published in Nature in 2019. Abstract: The colorectal adenoma-carcinoma sequence has provided a paradigmatic framework for understanding the successive somatic genetic changes and consequent clonal expansions leading to cancer. As for most cancer types, however, understanding of the earliest phases of colorectal neoplastic change, which may occur in morphologically normal tissue, is comparatively limited. Here, we whole genome sequenced hundreds of normal crypts from 42 individuals. Signatures of multiple mutational processes were revealed, some ubiquitous and continuous, others only found in some individuals, in some crypts or during certain periods of life. Likely driver mutations were present in ~1% of normal colorectal crypts in middle-aged individuals, indicating that adenomas and carcinomas are rare outcomes of a pervasive process of neoplastic change across morphologically normal colorectal epithelium. Colorectal cancers exhibit substantially elevated mutation burdens relative to normal cells. Sequencing normal colorectal cells provides quantitative insights into the genomic and clonal evolution of cancer.
DOI: 10.6084/m9.figshare.17139245.v1
title: The Unexplored Treasure Trove of Phabricator Code Reviews

description: We publish a dataset with details of 317,476 code reviews conducted via Phabricator. Our dataset is available in both JSON and MySQL database dump formats. This dataset includes code reviews from Blender, FreeBSD, KDE, LLVM, and Mozilla.
DOI: 10.6084/m9.figshare.21922764.v1
title: Supplementary Material for: Precise Discrimination for Multiple Etiologies of Dementia Cases Based on Deep Learning with Electroencephalography

description: <b><i>Introduction:</i></b> It is critical to develop accurate and universally available biomarkers for dementia diseases to appropriately deal with the dementia problems under world-wide rapid increasing of patients with dementia. In this sense, electroencephalography (EEG) has been utilized as a promising examination to screen and assist in diagnosing dementia, with advantages of sensitiveness to neural functions, inexpensiveness, and high availability. Moreover, the algorithm-based deep learning can expand EEG applicability, yielding accurate and automatic classification easily applied even in general hospitals without any research specialist. <b><i>Methods:</i></b> We utilized a novel deep neural network, with which high accuracy of discrimination was archived in neurological disorders in the previous study. Based on this network, we analyzed EEG data of healthy volunteers (HVs, <i>N</i> = 55), patients with Alzheimer’s disease (AD, <i>N</i> = 101), dementia with Lewy bodies (DLB, <i>N</i> = 75), and idiopathic normal pressure hydrocephalus (iNPH, <i>N</i> = 60) to evaluate the discriminative accuracy of these diseases. <b><i>Results:</i></b> High discriminative accuracies were archived between HV and patients with dementia, yielding 81.7% (vs. AD), 93.9% (vs. DLB), 93.1% (vs. iNPH), and 87.7% (vs. AD, DLB, and iNPH). <b><i>Conclusion:</i></b> This study revealed that the EEG data of patients with dementia were successfully discriminated from HVs based on a novel deep learning algorithm, which could be useful for automatic screening and assisting diagnosis of dementia diseases.
DOI: 10.6084/m9.figshare.25867147.v1
title: Harnessing the Power of Squeeze and Excitation Modules-Repository

description: This paper introduces an innovative segmentation model that extends the U-Net architecture with a Squeeze and Excitation (SE) mechanism, designed to enhance the detection of moving objects in video streams. By integrating this model into the ViBe motion detection algorithm, detection accuracy is significantly improved. The approach also leverages adaptive techniques to increase the robustness of the segmentation model in complex scenarios, without requiring extensive manual parameter tuning. The results indicate that the method provides a promising direction for real-time motion detection systems that require high precision and adaptability to varying conditions.
DOI: 10.6084/m9.figshare.27969768.v1
title: Dataset Quality of Public Construction Project Designs in Ecuador

description: The database in the repository contains a unique identification for each public construction project in Ecuador. For each project, cost deviation and schedule deviation have been calculated based on data extracted from the Official Public Procurement System (SOCE). These deviations provide key insights into the quality of project designs and their execution. This information serves as a valuable resource for enhancing public procurement practices and optimizing resource allocation in future projects.
DOI: 10.6084/m9.figshare.21960188.v1
title: Occupational Accidents and Covid-10 Data Set.xlsx

description: Data consists of two time period which are Pre-pandemic and pandemic period. Data about the occupational accidents occurred during these periods and its featuers/spesifications have collected systematically in a university hospital in Istanbul, Turkiye.