cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7017254.v1
title: MAST-ML Education Datasets

description: Three datasets to be used for educational purposes in association with the MASTML code package.<br>Each dataset is a materials property of interest and it's associated chemical composition.<br>The first dataset for dilute solute diffusion is trying to predict an effective diffusion barrier as calculated through DFT methods.<br>The second dataset for perovskite stability gives energies of each compostion relative to the convex hull, again as calculated through DFT. The perovskite dataset also includes columns with information about the A site, B site, and X site in the perovskite structure in order to perform more advanced grouping of the data.<br>The last dataset is a metallic glasses dataset which has values of reduced glass transition temperature (Trg) for a variety of metallic alloys. An additional column is included for majority element for each alloy, which can be an interesting property to group on during tests.
DOI: 10.17632/3f4hb2gt5w
title: Mobile-Assisted Language Learning Dataset (2008-2020)

description: Mobile-Assisted Language Learning research and publication dataset, which was indexed by Scopus from 2008 to 2020. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/9hy7bh3sny
title: Repository for the methodology for mapping and clustering district heating infrastructure costs on an entire territory

description: This repository is attached to the following publication: 
How much district heating in a future sector-coupled energy system? A comprehensive methodology for mapping and clustering the infrastructure costs on an entire territory - Hofmann et al.

The following files are provided:
- A quick user guide that presents the algorithms and the data provided in this repository, algo-and-data_userguide.pdf
- DHN costs from the mapping of the entire French territory at the 400 m x 400 m resolution (cleaned from empty pixels), DHN_potential_FRANCE_raster_r400.csv and DHN_potential_FRANCE_raster_r400_GIS.zip
- Algorithms developped to apply the methodology

NB : All algorithms are written in Python 3.12.1 with Jupyter Notebooks 7.2.2.
 
Input data used for the French case study can be found here:
- Excess heat (from EnRezo project, open access): https://cerema.app.box.com/s/ckhadohdon5toe7ail3zzigo77fuy6v3
- Annual residential and tertiary national heat demand (from EnRezo project, open access): https://cerema.app.box.com/s/80h1p9q62get6rnvhr051sesb4chg4z0
- Building floor surface (from CSTB, not in open access): https://www.cstb.fr/bases-donnees/base-donnees-nationale-batiments
- Winter temperature (from ECMWF Reanalysis, open access): https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels?tab=overview
DOI: 10.17632/sm66hkjvf4
title: DATASET - Risk Factor Prevalence in Handball Athletes with and without Overuse Injury History 

description: DATASET of the transversal study on the neuromuscular profile of handball athletes with and without overuse injury history.
DOI: 10.6084/m9.figshare.21743984.v1
title: Peucedanum praeruptorum genome assembly and gene annotations

description: The whole genome sequencing of Peucedanum praeruptorum
DOI: 10.6084/m9.figshare.28721465.v1
title: Data relative to the determination of uncertainty of the parameters in Chlorella vulgaris NIES 227 PI curve under exponential growth conditions

description: This file contains the data generated during Monte Carlo analysis for the determination of uncertainty relative to the parameters involved in the PI curve of Chlorella vulgaris NIES 227 in exponential growth phase.
DOI: 10.17632/tfmvf5xtnc
title: Data for: Ecosystem hero and villain: Native Luzon wart frog consumes rice pests, while the invasive cane toad feasts on beneficial arthropods
DOI: 10.6084/m9.figshare.19658406.v1
title: 10x Single-Cell RNAseq Brain (Reference)

description: Human astrocytes, oligodendrocytes, and microglia from the brain with labels in a SingleCellExperiment object. These data can be used as a reference set for training cell-type annotation classifiers. These cells have been subsetted from data from the following study (Allen Brain Atlas): <br> Bakken, T., Jorstad, N., Hu, Q., Lake, B., Tian, W., Kalmbach, B., ... & Lein, E. (2020). Evolution of cellular diversity in primary motor cortex of human, marmoset monkey, and mouse. <em>BioRxiv</em>.
DOI: 10.6084/m9.figshare.19665471.v1
title: Data from: FunAndes – A functional trait database of Andean plants

description: We introduce the FunAndes database, a compilation of functional trait data for the Andean flora spanning six countries. FunAndes contains data on 24 traits across 2,694 taxa, for a total of 105,466 entries. The database features plant-morphological attributes including growth form, and leaf, stem, and wood traits measured at the species or individual level, together with geographic metadata (i.e., coordinates and elevation). FunAndes follows the field names, trait descriptions and units of measurement of the TRY database. It is currently available in open access in the FIGSHARE data repository, and will be part of TRY’s next release. Open access trait data from Andean plants will contribute to ecological research in the region, the most species rich terrestrial biodiversity hotspot.
DOI: 10.6084/m9.figshare.28013150.v1
title: A dataset of interprovincial food trade flows in China

description: Understanding the food trading network is crucial for optimizing resource allocation, maintaining stability in the food system, and safeguarding food security. However, as one of the world's largest agricultural producers, there is a dearth of publicly available data sources pertaining to China's interprovincial physical food trade. Here, we developed a dataset of interprovincial physical food flows in mainland China for the period 2000-2022, using the trade gravity model with the integration of food supply, food demand, and transportation data. This dataset includes 15 key types of plant-based and animal-based food products and represents the longest time series covering the most extensive variety of food products to date on China's food trade patterns. The dataset reveals changes in dietary structures and trade patterns across regions within China since the 21st century. This work provides a methodological framework and dataset that could support studies on virtual resources flow, agri-environmental impact assessment, and food policy formulation across various food categories and regions.
DOI: 10.6084/m9.figshare.9764981.v1
title: DL4129 cell and nucleoid mesh_MW.mat

description: MATLAB file containing Oufti software generated cell (phase contrast) and nucleoid (DAPI/'object') meshes for DL4129. <br>Data for 4 biological repeats are concatenated.Biological Repeat 1 = frames 1 -70Biological Repeat 2 = frames 71 - 166Biological Repeat 3 = frames 167 - 236<br>Biological Repeat 4 = frames 237 - 341
DOI: 10.6084/m9.figshare.9792737.v1
title: Migration data

description: Wound healing migration data of LN229 and U251 treated with different levels of compressicve solid stress.
DOI: 10.15468/dl.uxnae8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina silus (Ascanius, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.0623 31.9334,26.9648 31.9498,26.9648 28.8496,35.2246 28.8496,35.4082 29.442,34.5107 31.7446,34.2089 31.83,33.6449 31.6171,32.7153 31.5989,32.1134 31.9914,31.0159 32.1003,30.233 31.9935,29.1426 31.3343,27.0623 31.9334))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013265-250525065834625/datasets/export for details.
DOI: 10.17632/zrrhmpgtmf
title: TESIS CARLA MATOS: Retos y oportunidades de la Inteligencia Artificial para el Grado en Periodismo de la Universidad Complutense de Madrid (2021-2025)

description: Aquí puedes encontrar las entrevistas transcritas a profesores y profesionales del sector periodístico y el focus Group a alumnos. Así mismo, también puedes ver el .sav de SPPS con el que se analizaron los cuestionarios difundidos a estos tres grupos. Todo ello forma parte de la tesis doctoral: Retos y oportunidades de la Inteligencia Artificial para el Grado en Periodismo de la Universidad Complutense de Madrid (2021-2025).
DOI: 10.6084/m9.figshare.19314032.v1
title: Paper Hess-2021-455

description: The data for the Paper Hess-2021-455
DOI: 10.6084/m9.figshare.20180450.v1
title: Supplementary original data for 'Storage, patterns and influencing factors for soil organic carbon in coastal wetlands of China'

description: The data that support this study are available in the Supplementary materials that would be open access for researchers.
DOI: 10.6084/m9.figshare.28574525.v2
title: Klebsiella spp. assemblies to test with plasmidEC and mlplasmids

description: These assemblies were used to test mplasmids and plasmidEC predictions.
DOI: 10.17632/j5zfp5vdz4
title: The Stream Daylighting Literature Review & The Stream Daylighting and Climate Change Literature Review Datasets (Datasets I and II)

description: These two datasets spread over two Microsoft Excel Documents. The first, The Stream Daylighting Literature Review Dataset (Dataset I) compiles information gathered from a systematic review of the literature sources on the daylighting of streams. In total, we reviewed 115 English language sources (with one exception: a Swiss-German Report on the City of Zürich's unique daylighting policy). The systematic review was combined with content analysis to extract from these sources the latent content in reference to the sources' less obvious characteristics and information that can be uncovered only by a thorough reading of each source’s text. This "Stream Daylighting Literature Review Dataset" also dubbed by our research team as Dataset I, is in the form of a Microsoft Excel document spreading over seven separate sheets that are united by a unique primary key (PK) number for each literature source. Dataset I consists in total of 19 variables that we extracted from the 115 literature sources of which 10 are manifest data in reference to the literature’s obvious and indisputable attributes, such as: authors’ names and affiliations, title and year of the source’s publication. The remaining nine are extracted from the sources’ latent content through careful reading, leading to notes that are then transferred and coded in the Excel document. The research team collected the latent data around four subject matters, namely: the literature sources’ underlying themes and sub-themes, the daylighting case studies/projects discussed, and the geographic coverage or scope addressed in the literature sources. Dataset I served as the backbone for the research project’s dashboard produced in Tableau --i.e., one of the manifestations of Dataset I in the form of visual analyses, which can be viewed through the following links: https://uwaterloo.ca/stream-daylighting/literature-review-database and/or https://public.tableau.com/profile/nathan.woodcock5796#!/ The second, The Stream Daylighting and Climate Change Literature Review Dataset (Dataset II) delves deeper into one of the latent content variables extracted from the literature’s sources namely, the climate change theme. Dataset II identifies how the 16 literature sources on stream daylighting discuss climate change, specifically: 1) How is stream daylighting addressed in relation to climate change in these sources? And how do these literature sources tackle climate adaptation and/or mitigation? This Dataset II is in the form of a Microsoft Excel document organized over nine columns. The PK number, each source's unique number, connects Datasets I and II. Role of the funding source: The funding for this research project was provided by the Social Sciences and Humanities Research Council of Canada (SSHRC) under file number 435-2016-0243. SSHRC was not involved in the study design nor in the collection, analysis and interpretation of data.
DOI: 10.17632/sbgj46b286
title: Genesis of strongly peraluminous granites facilitates nitrogen retention in the crust

description: Table 1 and Supplementary Tables
DOI: 10.6084/m9.figshare.12830762.v2
title: The bedrock-surface topography of the southern Laurentide Ice Sheet, a synthesis of available elevation data

description: This fileset contains data used to reconstruct the Quaternary landscape evolution of the southern Laurentide Ice Sheet (LIS) region in North America. These data include geographic information systems vector and raster files used to reconstruct the pre-glacial topography covered by the southern LIS during Quaternary glaciations. The authors compiled bedrock elevation data from 18 U.S. States and Canadian Provinces in North America as well as the bordering Great Lakes. This effort improves on previous work to provide a broad-scale digital elevation model with 250-m grid resolution. In addition to helping researchers understand landscape evolution, these data are useful for groundwater resource planning and seismic data interpretation among other applications.
DOI: 10.6084/m9.figshare.16641508.v1
title: Entrepreneurship education curriculum

description: Entrepreneurship education curriculum <br>
DOI: 10.6084/m9.figshare.28615874.v1
title: Image-based Mandibular and Maxillary Parcellation and Annotation using Computer Tomography (IMPACT): A Deep Learning-based Clinical Tool for Orodental Dose Estimation and Osteoradionecrosis Assessment.

description: This is the FigShare data deposition of NIFTI files used for the orodental IMPACT project.
DOI: 10.17605/osf.io/ebmhu
title: Maquate_Patarroyo_Ioannidou-Tsiomou_Knoeferle_2024

description: Here you find the commented analysis script, the associated data files, as well as the stimuli used for "Age differences in spoken language comprehension: Verb-argument and formality-register congruence influence real-time sentence processing" (Maquate et al., 2024)
DOI: 10.17632/9n8r8m5kk7
title: Decoding agingomics: understanding the complex relationship between, aging, FR and GSH.

description: Data from article: "Decoding agingomics: understanding the complex relationship between, aging, FR and GSH."
DOI: 10.6084/m9.figshare.21946883.v2
title: Governance Materiality Map: MSCI

description: The Governance Sustainability Materiality Map dataset is a structured and curated collection of data derived from the MSCI Industry Materiality Map. MSCI ESG Ratings evaluate companies' resilience to long-term, financially relevant environmental, social, and governance (ESG) risks. The MSCI ESG Industry Materiality Map is a visual representation of the current ESG Key Issues and their significance to companies' ESG Ratings. This map is part of MSCI's ESG Ratings transparency initiatives, which aim to make ESG Ratings of companies and funds accessible to the public. The dataset includes structured data collected from the MSCI Materiality Map, showcasing the most relevant ESG Key Issues for each industry and their contribution to companies' overall ESG Ratings. This dataset aims to provide researchers, investors, and policymakers with valuable insights into the social sustainability aspects of various industries and the factors that contribute to their ESG Ratings. <strong>Data Collection Process:</strong> The data for the Governance Sustainability Materiality Map dataset was collected from the publicly available MSCI Industry Materiality Map. The information was then structured and organized to create a comprehensive dataset that highlights the most relevant ESG Key Issues for each industry and their contribution to companies' ESG Ratings. Link: MSCI Industry Materiality Map
DOI: 10.6084/m9.figshare.24050244.v2
title: <b>Supplemental Material for Manuscript Title: </b>Deletion of the Aryl Hydrocarbon Receptor in Endothelial Cells Improves Ischemic Angiogenesis in Chronic Kidney Disease.

description: Supplemental material for paper entitled: <b>Deletion of the Aryl Hydrocarbon Receptor in Endothelial Cells Improves Ischemic Angiogenesis in Chronic Kidney Disease</b><br>Item Descriptions:1) Source Data file2) Supplemental Figures3) Supplemental Dataset #1
DOI: 10.6084/m9.figshare.28798757.v1
title: Amblyopinina Data_Geisler et al. 2025.xlsx

description: Dataset on the mutualistic interactions between Amblyopinina beetles and their mammal hosts.
DOI: 10.17632/mp328hh34n
title: Critical Materials Mining in Kazakhstan, Kyrgyzstan, Tajikistan, and Uzbekistan: Deposits, Ownership and Companies

description: The dataset is based on a broad range of sources, including news media, mining company websites, official government catalogues, and mineral maps in Kazakhstan, Kyrgyzstan, Tajikistan and Uzbekistan.
DOI: 10.17632/w9bjgfrb6y
title: Social Influence in Sport Brands

description: This dataset is related to the social power brand of consumers of an emerging and newly established sports brands.
DOI: 10.6084/m9.figshare.1054736.v1
title: Arctic 2k v1.1

description: These data are well described in the Nature Scientific Data data descriptor: "An extended Arctic proxy temperature database for the past 2,000 years". The updated PaiCo reconstruction is available at WDC Paeloclimatology.
DOI: 10.6084/m9.figshare.1060453.v5
title: Virtual Intracranial Stenting Challenge 2011: Particle imaging velocimetry data

description: Particle imaging velocimetry data belonging to the Virtual Intracranial Stenting Challenge 2011 (VISC'11). The dataset was used to validate CFD solutions provided by challenge participants. Specifically, the dataset was used to validate the in-plane velocity field on the xy-plane at z = 0 mm for the untreated case. Fileset content: * piv.vti: PIV dataset (in mm) stored in a vtkImageData object Notes: * The image region for x &lt; -6 mm was excluded from data analysis for the journal paper. The normal of the glass surface was nearly perpendicular to the optical axis in this region and the PIV technique could not reliably estimate the velocity field. As mentioned in the paper, even after excluding part of the PIV image, relatively large differences between CFD and PIV were found near the lower bound of the x-axis. * The PIV image and vascular geometry were placed in the same coordinate system. They were positioned such that the xy-plane at z = 0 mm (corresponding to the PIV plane) approximately sliced the main flow jet into the aneurysm along its axis. More details on VISC'11: Cito S, Geers AJ, Arroyo MP, Palero VR, Pallarés J, Vernet A, Blasco J, San Román L, Fu W, Qiao A, Janiga G, Miura Y, Ohta M, Mendina M, Usera G, Frangi AF. Accuracy and Reproducibility of Patient-Specific Hemodynamics Models of Stented Intracranial Aneurysms: Report on the Virtual Intracranial Stenting Challenge 2011. Annals of Biomedical Engineering, 43(1):154-167, 2015. Contact: Arjan Geers (ajgeers@gmail.com) Links: * http://dx.doi.org/10.6084/m9.figshare.1060443 : FigShare fileset "VISC'11: Input data" * http://dx.doi.org/10.6084/m9.figshare.1060464 : FigShare fileset "VISC'11: CFD solutions group E" * https://github.com/ajgeers/visc11 : GitHub repository with code to reproduce the plots of the journal paper
DOI: 10.6084/m9.figshare.14374568.v1
title: Gene database of Mesoplasma florum L1

description: <i>Mesoplasma florum</i> has one of the smallest genome of all self-replicating organisms known to exist on Earth. As such, it is particularly useful for understanding the minimal set of genes needed for supporting life. Non-motile and non-parasitic, the organism is also useful for understanding the pathways and genetic determinants of motility and parasitic behaviour. This work presents the gene database of <i>M. florum</i> that comprises gene name, gene function, and gene sequence using data from the annotated genome sequence of the organism downloaded from Genbank. Overall, genetic information collected in the presented gene database should find use in a variety of settings seeking to understand the molecular mysteries in replication and other cellular processes in this relatively less studied microorganism.
DOI: 10.6084/m9.figshare.25983757.v2
title: <b>Drug Release Nanoparticle Systems Design:</b><b>Dataset Compilation and Machine Learning Modeling</b>

description: Magnetic Nanoparticles (MNPs) are gaining significant interest in the field of biomedical functional nanomaterials because of their distinctive chemical and physical characteristics, particularly in drug delivery and magnetic hyperthermia applications. In this paper, we experimentally synthesized and characterized new Fe<sub>3</sub>O<sub>4 </sub>based<sub> </sub>MNPs, functionalizing its surface with a 5-TAMRA cadaverine modified copolymer consisting of PMAO and PEG. Despite these advancements, many combinations of NP cores and coatings remain unexplored. To address this, we created a new dataset of MNP systems from public sources. Herein 11 different AI/ML algorithms were used to develop the predictive AI/ML models. The Linear Discriminant Analysis (LDA) and Random Forest (RF) models showed high values of sensitivity and specificity (&gt;0.9) in training/validation series and 3-fold cross validation, respectively. The AI/ML models are able to predict 14 output properties (CC<sub>50 </sub>(µM), EC<sub>50 </sub>(µM), Inhibition (%), <i>etc</i>.) for all combinations of 54 different NP cores classes <i>vs</i>. 15 different coats and <i>vs</i>. 41 different cell lines allowing to short list the best results for experimental assays. The results of this work may help to reduce the cost of the traditional trial and error procedures.