cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/g96h3ygd3c
title: US Corn Cover Crop Fertilizer Trial Data

description: This dataset was used to conduct the statistical modeling that supports the manuscript: "The nitrogen value of cover crops: How much N can cover 
crops replace?. The data was compiled from a literature review of peer-reviewed corn-cover crops trials published in the US between 1985 and 2016. In general, individual observations are for average yield comparisons of a corn-cover crop vs corn-no cover crop treatments at different nitrogen N fertilizer at rates. Statistical analyses were conducted based on experimental conditions described in the original publications.
DOI: 10.6084/m9.figshare.1298151.v1
title: Characterizing social media metrics of scholarly papers: the effect of document properties and collaboration patterns

description: <em>Data and figures for paper published in PLOS ONE</em> <strong>Abstract. </strong>A number of new metrics based on social media platforms—grouped under the term “altmetrics”—have recently been introduced as potential indicators of research impact. Despite their current popularity, there is a lack of information regarding the determinants of these metrics. Using publication and citation data from 1.3 million papers published in 2012 and covered in Thomson Reuters’ Web of Science as well as social media counts from Altmetric.com, this paper analyses the main patterns of five social media metrics as a function of document characteristics (i.e., discipline, document type, title length, number of pages and references) and collaborative practices and compares them to patterns known for citations. Results show that the presence of papers on social media is low, with 21.5% of papers receiving at least one tweet, 4.7% being shared on Facebook, 1.9% mentioned on blogs, 0.8% found on Google+ and 0.7% discussed in mainstream media. By contrast, 66.8% of papers have received at least one citation. Our findings show that both citations and social media metrics increase with the extent of collaboration and the length of the references list. On the other hand, while editorials and news items are seldom cited, it is these types of document that are the most popular on Twitter. Similarly, while longer papers typically attract more citations, an opposite trend is seen on social media platforms. Finally, contrary to what is observed for citations, it is papers in the Social Sciences and humanities that are the most often found on social media platforms. On the whole, these findings suggest that factors driving social media and citations are different. Therefore, social media metrics cannot actually be seen as alternatives to citations; at most, they may function as complements to other type of indicators. <em><br></em>
DOI: 10.6084/m9.figshare.23993517.v4
title: A 30-m annual corn residue coverage dataset from 2013 to 2021 in Northeast China

description: Data files are in ".tif" format.XY coordinate system: GCS_WGS_1984①Pixel values represent: values magnified 1000 times, '2013C.tif' represents 2013 pre-sowing CRC, '2013Q.tif' represents 2013 post-harvest CRC；②Li_CRC_2021.tif is the CRC of Songnen Plain in 2021 by Li et al.③Conservation Tillage Yearbook.xlsx is the area of conservation tillage recorded in the statistical yearbook④GEE.js is the code for the HISTARFM method of fusing images⑤SD_CRC_model.py is the code for CRC modeling⑥Reflectance Comparison Chart.ipynb is the code for Fig 4, Comparison chart of different CRC DATA.ipynb is the code for Fig 8, CRC_box_plot_changes.ipynb is the code for Fig 13
DOI: 10.6084/m9.figshare.26142931.v3
title: <b>Aquaculture coupled with trade is sustaining growth and improving stability in global aquatic food supply</b>

description: Aquatic food security is closely interconnected with multiple sustainable development goals (SDGs). Although assessing aquatic food security relies on understanding global trends in per capita production and consumption, there has been no comprehensive index to evaluate these trends in a country or regional context. Here, we develop a novel framework based on a comprehensive scoring system to assess changes in contemporary per capita aquatic food production and consumption trends (tendency, magnitude, and stability) across 177 countries in two time periods (1961–1990 and 1991–2019).
DOI: 10.6084/m9.figshare.26496064.v1
title: Steel et al, 2024 - MATLAB scripts (CrydKO vs C57Bl6/J)

description: MATLAB scripts for data analysis for CrydKO vs C57Bl6/J mice, for "Light sampling behaviour regulates circadian entrainment in mice", Steel et al, 2024, published in BMC Biology. Folder contains 5 scripts for processing of raw data, specific to each experimental condition week (control, nestbox, forage mix, ramped, DD). 4 further post-processing analysis scripts - to calculate activity profiles, circadian parameters, light exposure and light sampling. 5 MATLAB functions used throughout the scripts: location finder, simplify columns, transitions, Av_1min_day, Av_30min.
DOI: 10.6084/m9.figshare.28868360.v3
title: Supplementary Date: A Tungsten Polyoxometalate Mediated Aqueous Redox Flow Battery with High Open-Circuit Voltage up to 2.0 V

description: The optimized computational models and molecular dynamics trajectories of the initial and final configurations are provided.
DOI: 10.6084/m9.figshare.5128825.v1
title: Supplementary Material for: Metformin-Derived Growth Inhibition in Renal Cell Carcinoma Depends on miR-21-Mediated <b><i>PTEN</i></b> Expression

description: <b><i>Purpose:</i></b> Metformin (MF) acts as a tumour-suppressor in renal cell carcinoma (RCC) by inhibiting the <i>AKT</i>/<i>mTOR</i> pathway via <i>AMPK </i>activation. Here, we explore the influence of miR-21 and its target gene <i>PTEN</i> on MF effects in CAKI-1 and CAKI-2 cells. <b><i>Methods:</i></b> Proliferation assays (MTS) and qRT-PCR after transient transfection with pre- and anti-miR-21 and MF treatment were conducted. <i>AMPK</i>-dependency was assessed via transfection of siAMPK. The expression of <i>PTEN</i>, <i>AKT</i> and miR-21 after transient pre-miR-21 transfection and MF treatment was analysed. <b><i>Results:</i></b> We demonstrate that CAKI-1 cells, which were found to be less sensitive towards MF, showed a significant higher miR-21 and lower PTEN expression than CAKI-2. This was confirmed in a primary RCC collective (n = 28): miR-21 and <i>PTEN </i>expression correlated negatively. MF treatment lowered miR-21 <i>AMPK</i>-dependently and increased <i>PTEN</i> expression in the cell lines. Ectopic miR-21 regulation modulated MF sensitivity. Western blot analysis showed that pre-miR-21 transfection and MF treatment regulated <i>PTEN</i> expression with impact on <i>pAKT</i> levels in the cells. <b><i>Conclusions:</i></b> We show that differing MF sensitivity in RCC cells is associated with and mediated through the regulation of miR-21/<i>PTEN </i>expression with an impact on subsequent <i>AKT</i> signalling. This provides imaginable clinical implications regarding MF therapy of RCC patients for the future.
DOI: 10.17632/5yz4r59dw9
title: Data for: Watching a video together creates social Closeness

description: The final samples of Study 1a&b and Study 2 of the related article
DOI: 10.17632/9v6wy5fx3h
title: STEM scale development

description: The link to the paper will be provided upon publication.
DOI: 10.17632/rm9m7ycp3r
title: Dataset of road crashes in motorcyclists in Bogotá (2013-2018)

description: The dataset was consolidated with 175,245 road accidents and the report of 337,828 road actors involved in collisions, crashes, and fatalities between January 2013 and February 2018 in Bogotá. The data was compiled, processed, and enriched with additional information about infrastructure and weather conditions. The data consists of 35,693 motorcyclist accident records.
DOI: 10.17632/zhs97tsdry
title: HatchFrac: a fast open-source DFN modeling software in a C++ environment

description: HatchFrac is an efficient DFN modelling software in a C++ environment;
The software is not commercial but a part of my PhD research to investigate the properties of discrete fracture networks.
The code is not in a user-friendly shape since its primary purpose is to solve the scientific problems of DFNs, and I am not a professional programmer.
Professional programmers are welcome to contact me and help me optimize the code or commercialize the software if possible. 
*****************************************************************************************************************************
In the folders "2DFractureNetworks" and "3DFractureNetworks", we provide parts of the software to generate 2D and 3D fracture networks and mimic the fracture growth process;

In the folders "Finalized_2D_Code" and "Finalized_3D_Code", we provide all functions of the software used in my PhD thesis.
You may read my PhD thesis first to have a general knowledge of my work during my PhD period and then try the code.

*****************************************************************************************************************************
The code is written in Visual Studio 2017, and it can be successfully compiled in this version of Visual Studio. If you have the latest version of Visual Studio, you may encounter some difficulties in compiling the code.
*****************************************************************************************************************************
In the code, some functions from the Eigen library are used, so you need to include the Eigen folders in the project. 
You can find detailed information about Eigen with the link: https://eigen.tuxfamily.org/index.php?title=Main_Page
*****************************************************************************************************************************
Simply run the "MainCode.cpp" and activate the corresponding lines of code in Visual Studio 2017 (in "Release x64"  mode) for different projects. You can find the generated data in different folders;
I also provide a simple Matlab code for you to visualize your result, which can be found in the "Fracture_Data" folder and "FractureGrowth_Data" folder;
If you have any questions, please contact me via e-mail: weiwei.zhu@kaust.edu.sa or jacnil@yeah.net.
DOI: 10.6084/m9.figshare.17104214.v1
title: Tsunami Data of the 2021 Alaska Earthquake

description: Raw_Data BDXX: Background time series of DARTs BTXX: Background time series of tide gauges DXX: Tsunami time series of DARTs BXX: Tsunami time series of tide gauges
DOI: 10.17632/5fxggdsk9p
title: dataset for DIB

description: Dataset for Tadipatri Mandal fluoride  enrichment
DOI: 10.17632/xtg3w85hdr
title: Database of push tests on headed stud shear connectors embedded in solid slabs using lightweight concrete

description: This database contains the results of 90 push tests on headed stud shear connectors embedded in solid slabs using lightweight concrete. The database can be used as a basis for structural reliability analyses, or the development of machine learning models for predicting the resistance of headed stud connectors used in composite steel and concrete construction.
DOI: 10.26188/5b7a226c4f1b2
title: CT data and colour-rendered 3D images for Patiriella littoralis holotype (TMAG H468) and Patiriella regularis (MV F87407)

description: Specimens CT scanned at the School of Earth Sciences,University of Melbourne, in a Phoenix|x-ray nanotomat 60 kV, 300 μA for 500 ms over 1000 projections,<br>resulting in a final voxel size of 0.01777805 mm for <i>Patiriella littoralis </i>and 0.02000012 mm for <i>Patiriella regularis</i>. Each zip file contains reconstructed tif stack and metadata text file with scan details. <br>When using data, please cite:O’Hara TD, Mah CL, Hipsley CA, Bribiesca-Contreras G, Barrett NS. 2018. The Derwent River Seastar: re-evaluation of a critically endangered marine invertebrate. Zoological Journal of the Linnean Society. 10.1093/zoolinnean/zly057<br>
DOI: 10.6084/m9.figshare.19354996.v1
title: Targeting lipophagy in macrophages improves repair in multiple sclerosis

description: Foamy macrophages containing abundant intracellular myelin remnants are an important pathological hallmark of multiple sclerosis. Reducing the intracellular lipid burden in foamy macrophages is considered a promising therapeutic strategy to induce a phagocyte phenotype that promotes central nervous system repair. Recent research from our group showed that sustained intracellular accumulation of myelin-derived lipids skews these phagocytes toward a disease-promoting and more inflammatory phenotype. Our data now demonstrate that disturbed lipophagy, a selective form of autophagy that helps with the degradation of lipid droplets, contributes to the induction of this phenotype. Stimulating autophagy using the natural disaccharide trehalose reduced the lipid load and inflammatory phenotype of myelin-laden macrophages. Importantly, trehalose was able to boost remyelination in the <i>ex vivo</i> brain slice model and the <i>in vivo</i> cuprizone-induced demyelination model. In summary, our results provide a molecular rationale for impaired metabolism of myelin-derived lipids in macrophages, and identify lipophagy induction as a promising treatment strategy to promote remyelination. <b>Abbreviations:</b> Baf: bafilomycin a1; BMDM: bone marrow-derived macrophage; CD68: CD68 antigen; CNS: central nervous system; LD: lipid droplet; LIPE/HSL: lipase, hormone sensitive; LPS: lipopolysaccharide; MAP1LC3/LC3: microtubule-associated protein 1 light chain 3; MBP: myelin basic protein; MGLL: monoglyceride lipase; MS: multiple sclerosis; NO: nitric oxide; NOS2/iNOS: nitric oxide synthase 2, inducible; ORO: oil red o; PNPLA2: patatin-like phospholipase domain containing 2; PLIN2: perilipin 2; TEM: transmission electron microscopy; TFEB: transcription factor EB; TOH: trehalose.
DOI: 10.6084/m9.figshare.23600988.v1
title: SUMMARY OF MECHANICAL PROPERTIES OF THE SOIL.docx

description: The data is about soil mechanical properties that include Young's Modulus,Poisson's ratio,California Bearing ratio,Shear Strength
DOI: 10.17632/fktr36fmh5
title: The Effect of Import Competition across Occupations

description: Replication package
DOI: 10.17632/n5d6yw6vm7
title: Data for: Deriving the Sentiment Polarity of Term Senses using Unsupervised Context-Aware Gloss Expansion

description: Sentiment lexicon generated from using Unsupervised Context-Aware Gloss Expansion
DOI: 10.6084/m9.figshare.23961339.v1
title: AJP-HCP Supplemental Tables 15-AUG-2023

description: <b>Table S1. Sex-disaggregated participant characteristics.</b><b>Table S2. Sex-based comparison for main endpoints.</b>
DOI: 10.17632/6x3ms7857b
title: Impact of Artificial Intelligence on Jobs

description: This article is a analysis on how the use of AI and automation will lead to disturbance in society and cause large scale unemployment.
DOI: 10.6084/m9.figshare.12570614.v1
title: Gff3 file of high-confidence genes with alternatively splicing in Camptotheca acuminata

description: Gff3 file of high-confidence genes with alternatively splicing in Camptotheca acuminata
DOI: 10.6084/m9.figshare.25283083.v1
title: Global Natural and Planted Forests Mapping at Fine Spatial Resolution of 30 m

description: The expansion of planted forests often encroaches upon natural forests, leading to numerous environmental and social problems. Mapping natural and planted forests is crucial for the monitoring, management, and conservation of these invaluable forest resources. However, global mapping of natural and planted forests at fine spatial resolution remains an unaddressed need. Here, we generated more than 70 million training samples from dense Landsat images and fed them to a random forest classifier (RF). Our dataset achieved an impressive overall accuracy of 85% when validated against reference data.
DOI: 10.6084/m9.figshare.25396042.v2
title: Colom2024_Dataset_SynapticPasticityofSignTrackerRats.csv

description: Behavioural and neurobiological data required to reproduce the findings of the associated paper (Colom <i>et al.</i>, 2024).
DOI: 10.6084/m9.figshare.26671444.v1
title: Detection of Nanoliter-Scale Cortical Perivascular Spaces using Heavily T2-weighted MRI at 7T

description: This dataset contains the MRI scans of 17 healthy individuals for the study of perivascular spaces at 7T. A high resolution T2-weighted 3D TSE was optimized to enhance cerebrospinal fluid (CSF) contrast with minimal contribution from tissues. A high resolution MP2RAGE (INV1, INV2 and UNI) was acquired to segment white matter, gray matter and various cortical areas with a high accuracy. A FLAIR acquisition was also performed to detect potential white matter hyperintensities and lacunes that may be confounded with perivascular spaces. In addition, TSE CSF rescan was collected for 7 subjects and are included in this dataset.
DOI: 10.17632/bpnmf2vhsk
title: Serial 3D Dental Models

description: The dataset consists of 3D scans of the upper and lower dentitions of 24 patients, all in their growth age, taken at different time intervals. All patients had normal occlusions with no history of orthodontic treatment. There are 3 scans avaialble for 8 out of 24 patients, and 2 scans available for the remaining 16 patients. The interval between each two consecutive scans is at least 2 years and at most 10 years. The dataset was created by 3D scanning of plaster models using a benchtop structured-light 3D scanner (Maestro 3D Desktop Scanner, Pontedera, Italy) with a point accuracy of &lt;10 μm and resolution of &lt;70 μm in all directions.
DOI: 10.17632/x356jrj2cz
title: A Multilingual & Multimodal Text and Image Corpus Dataset for Political Misinformation

description: Our database is a richly annotated multimodal database designed to facilitate strong fake-news detection research. It consists of two complementary but separate components: an image directory and a text spreadsheet. The image directory consists of a folder-level organization with a title as a topic; within each topic directory, the images are then placed in real and fake subdirectories based on the expert labeling. Such an organization allows loading and processing images for cross-modal testing or supervised learning. In contrast, text data are kept in a single Excel sheet where a record is one piece of news. Four separate columns keep the title, source, full news report, and real/fake indicator. Together, these modalities cover a broad range of temporal and topical domains not only social-media posts, mainstream-media news reports, and election-related posts but allowing the training of models on both linguistic aspects (sensational or objective tone, grammaticality, metadata quality) and visual aspects (original vs. photo-manipulated images). With a combination of a sparse folder hierarchy for images and a richly annotated spreadsheet for text, the dataset is well-specified, reproducible, and easy to pipe into any subsequent machine-learning pipeline.
DOI: 10.6084/m9.figshare.16917973.v1
title: Supplementary Material for: Aphakic Pupillary Block by an Intact Anterior Vitreous Membrane after Total Lens Extraction by Phacoemulsification

description: An 85-year-old Japanese woman with acute primary angle closure in her right eye underwent cataract extraction. Because of the weakness of the Zinn’s zonules, all of the lens tissue including the lens capsule was removed by phacoemulsification. Because of the absence of vitreous prolapse into the anterior chamber, vitrectomy was not performed. Nine days postoperatively, acute angle closure due to pupillary block by an anterior vitreous membrane developed. To resolve the pupillary block, anterior vitrectomy was performed on the same day. Postoperatively, her symptoms resolved, the anterior chamber deepened, and the intraocular pressure normalized. Although rare, acute angle closure due to pupillary block by an anterior vitreous membrane can occur after total lens extraction with phacoemulsification. If no vitreous prolapse occurs with total lens extraction, an intentional hyaloidotomy using an anterior vitreous cutter or iridectomy should be considered to avoid secondary angle closure.
DOI: 10.6084/m9.figshare.24289456.v4
title: <b>Quickly forecasting the future state of urban sensors by the missing-data-tolerant deep learning approach</b>

description: <b>Quickly forecasting the future state of urban sensors by the missing-data-tolerant deep learning approach</b>
DOI: 10.6084/m9.figshare.28080374.v1
title: <b>Attitude, Knowledge, and Practice of Medical Students and Pediatric Physicians Towards Blood Pressure Measurement and Hypertension in Children</b>

description: <b>Attitude, Knowledge, and Practice of Medical Students and Pediatric Physicians Towards Blood Pressure Measurement and Hypertension in Children</b>
DOI: 10.17632/cvkgfzp7ck
title: Bacteria Data for Machine Vision and Digital Biology

description: The dataset used in this work is a combination of two datasets, the datasets in [1] and the Digital Images of Bacteria Species (DIBaS) dataset, which is a publicly available dataset provided by Zieliński et al. in 2017 [2]. This dataset includes RGB images of 33 isolated bacteria species, with each species containing 20-23 images, totaling 689 images. The dataset size is relatively small for training deep learning models, which can lead to overfitting and poor generalization. Additional data were collected for this study to augment the dataset, resulting in a total of 2722 RGB images. These images were captured using a Nikon E200 microscope with a 100x objective after staining the bacteria with the Gram method. The combined dataset is not only more substantial in size but also represents multiple institutions and equipment sources, enhancing its real-world applicability.
1. M.B. Jamshidi,  S. Sargolzaei, S. Foorginezhad, and O. Moztarzadeh, Metaverse and Microorganism Digital Twins: A Deep Transfer Learning Approach
Applied Soft Computing, 2023.
2. B. Zieliński, A. Plichta, K. Misztal, P. Spurek, M. Brzychczy-Włoch, and D. Ochońska, "Deep learning approach to bacterial colony classification," PloS one, vol. 12, no. 9, p. e0184554, 2017.
DOI: 10.17632/f6d39287km
title: Visual LED Status Dataset for Machine Learning Applications

description: Visual LED Status Dataset is a collection of high-quality images of LEDs captured in different environments and under various lighting conditions. The dataset includes images of normal LEDs, bike and car lights, signal lights, and LEDs of different colors. The images were captured using a high-end resolution camera to ensure high-quality images suitable for machine learning applications. The dataset is divided into five sub-folders containing images of normal LEDs, coloured LEDs, bike lights, car lights and signal lights labelled accordingly. The purpose of this dataset is to develop an image classification model that can accurately determine whether an LED is on or off based on its visual appearance. It is designed to support the development of machine learning models for LED status classification and recognition. The dataset can be used for training, testing, and validation of machine learning models, as well as for research and educational purposes. The proposed dataset provides a valuable resource for industries that use LED technology, particularly in quality control and manufacturing settings. The dataset could be used to develop automated inspection systems for vehicles, electronic devices, or other products that incorporate LEDs. Overall, the LED Status Classification Dataset can be used to improve quality control and efficiency in various industries that use LED technology.
DOI: 10.6084/m9.figshare.12526238.v1
title: Tomographic PWV of the three Super Typhoon Events in Hong Kong

description: Tomographic PWV in five layers for the three Super Typhoon Events in Hong Kong