cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22202395.v1
title: Machine learning-ready remote sensing data for Maya archaeology: masks, ALS data, Sentinel-1, Sentinel-2

description: The dataset includes multimodal annotated data for remote sensing of Maya archaeology and is suitable for deep learning. The dataset covers the area around Chactún, one of the largest ancient Maya urban centres in the central Yucatán peninsula.It includes five types of data:high-resolution airborne laser scanning (ALS, lidar) data visualisations (sky view factor, positive openness, slope),high-resolution airborne laser scanning derived canopy height model,Sentinel-1 Short Aperture Radar (SAR) satellite data (yearly average Sigma0),Sentine-2 optical satellite data (12 bands + cloud mask, 17 dates), andmanual data annotations.The manual annotations (used as binary masks) represent three different types of ancient Maya structures (class labels: buildings, platforms, and aguadas – artificial reservoirs) within the study area, their exact locations, and boundaries.The dataset is ready for use with convolutional neural networks (CNNs) for object recognition, object localization (detection), and semantic segmentation. The dataset has already been used for the <i>Discover the Mysteries of the Maya</i> computer vision competition.We would like to provide this dataset to help more research teams develop their own computer vision models for investigations of Maya archaeology or improve existing ones.A detailed description of the datasets has been published by Kokalj, Ž., Džeroski, S., Šprajc, I. <i>et al.</i> Machine learning-ready remote sensing data for Maya archaeology. <i>Scientific Data</i> <b>10</b>, 558 (2023). https://doi.org/10.1038/s41597-023-02455-x<br>The authors and institutions they are affiliated with exclude all liability for any reliance on the data.
DOI: 10.17632/y3dzk7kw3p
title: overqualification_organizational size_engagement

description: The study sample consisted of 107 university graduates. A time-lagged design with two data collection points was implemented. Data were analyzed using moderated regression. The results showed that organizational size enhanced the negative relationship between perceived overqualification and engagement (vigor, dedication, and absorption).
DOI: 10.4121/13663619.v1
title: Videos – CFD-DEM simulations: fluidisation of calcite-pellets in water

description: Videos – CFD-DEM simulations fluidisation calcium carbonate granules (calcite-pellets 0.8-0.9mm and 1.4-1.7mm) in water
DOI: 10.6084/m9.figshare.25193867.v1
title: RAW FOREST PLOTS.pptx

description: This is the Raw Forest Plot pptx file for the article:Lidströmer et al, Systematic review and meta-analysis for a Global Patient co-Owned Cloud (GPOC), Nature Communications, DOI: 10.1038/s41467-024-46503-5.
DOI: 10.6084/m9.figshare.5182861.v2
title: Assembly and annotation for haddock with script

description: Approximately 160x coverage of Illumina paired end reads and 20x coverage of PacBio reads were assembled with the Celera Assembler resulting in a contig assembly . All Illumina reads were mapped to the contig assembly with BWA, and the scaffold module from SGA was used to scaffold the contigs. To reduce gaps and to improve the accuracy of the consensus sequence, all Illumina reads were mapped to the scaffold assembly, and Pilon was run to improve the contigs using high-coverage short-read information. <br>An iterative automatic annotation with MAKER using an Illumina based transcriptome of haddock, and proteins from UniProt/SwissProt, annotated 96,576 gene models. InterProScan was run on the predicted proteins of these, and gene names were allocated based on match with proteins in UniProt/SwissProt. We created a filtered set where all genes had an Annotation Edit Distance (AED) of less than 0.5 (where 0.0 indicates perfect accordance between the gene model and evidence (mRNA and/or protein alignments), and 1.0 no accordance). This resulted in 27,437 gene models.
DOI: 10.6084/m9.figshare.23607813.v1
title: Github tutorials, SS2

description: mtx and metadata files for github tutorials
DOI: 10.17632/yvs763rcf8
title: Data for: Soilborne wheat mosaic virus: yield loss and distribution in the inland PNW

description: Soilborne wheat mosaic virus: yield loss and distribution in the inland PNW
DOI: 10.4121/uuid:ff8563c6-575d-4678-a8ea-412f2e0072a6
title: PC Overtop (software)

description: Program to calculate wave run-up and overtopping over sea dikes and other sloping structures according to the TAW guidelines
DOI: 10.6084/m9.figshare.28489691.v1
title: Dataset_pnas.2427123122.xlsx

description: The description of the paper will be updated after the embargo period.
DOI: 10.6084/m9.figshare.28970453.v1
title: Integrative Framework of School Belonging with Examples

description: Integrative Framework with examples. Artwork by Kathryn Kallady. Based on:Allen, K. A., Kern, M. L., Rozek, C. S., McInerney, D. M., & Slavich, G. M. (2021). Belonging: a review of conceptual issues, an integrative framework, and directions for future research. <i>Australian Journal of Psychology</i>, <i>73</i>(1), 87–102. https://doi.org/10.1080/00049530.2021.1883409
DOI: 10.6084/m9.figshare.13611557.v2
title: MAGs.gz

description: The document contains 207 metagenomic assembled genomes (MAGs) from 36 Chinese mangrove sediments. <br>
DOI: 10.6084/m9.figshare.25245997.v1
title: Code for processing and analyzing proteome turnover data generated via dSILO

description: <b>Code to calculate half-lives from MaxQuant output files and generate figure</b>Includes:R code for generating half-lives and heatmaps using PSM values from a MaxQuant-derived evidence.txt file (<i>related to Figure 2, Figure 3, and SF1</i>)<br>Python scripts to filter data by RSQ and PSM counts (<i>related to Figure 2G, Figure 3</i>)<br>Python scripts to assign proteins to complexes via CORUM, perform KS testing, plot distributions, and map half-lives onto a cryo-EM structure of the respirasome (<i>related to Figure 4 and SF4</i>)<br><br>and all associated input/output files.<br>
DOI: 10.6084/m9.figshare.25353283.v2
title: Oblivion Results

description: <b>Oblivion Results </b>is a TXT dataset which contains the report files generated in the experimental phase of Oblivion's development. Knowing the SHA256 hash of a file of interest, if this file is present in our list, the relative report can be consulted.The set is organized as follows:<i>logs </i>contains the hash lists of files analyzed. Additionally, we provide hash lists of files that did not complete the analysis, including the error returned by Oblivion.<i>results </i>contains the actual reports. These are human-readable files used to assess the operations carried out by the macro. This folder is further organized in <b>Word</b> and <b>Excel</b> related reports.Instructions:This dataset is designed for human consumption. Use the Pandas Dataframes provided in <i>logs</i> to retrieve your file(s) of interest. If the hash is in the <i>successful_files </i>list, a report can be found in the <i>results</i> folder.
DOI: 10.17632/vz7pzt2grf
title: Batik 300

description: Batik Dataset is collected by capturing 50 types of Batik cloth. Each cloth is captured to as much as six random images and then resized to 128x128 pixels size in JPEG format. Total number of images in a dataset is 300 and consists of 50 classes. In general, there are two patterns of captured batik images, geometric and non-geometric patterns.
DOI: 10.6084/m9.figshare.25404841.v1
title: Acupoint for PSUI

description: This zip file comprises R programming language code designed for graphic generation and data analysis, along with the corresponding generated dataset files.
DOI: 10.17632/vs2vjzkw5h
title: knitting-dataset

description: This dataset presents comprehensive information on the structural and physical properties of various knitted fabric samples, including both weft and warp knitted fabrics. The data were collected to support research in textile engineering, particularly focusing on the influence of knitting parameters on fabric behavior.
The dataset is generated using knitting production report collected from June to August 2023. The dataset contains 12569 rows and 38 columns. It includes measurements of loop length, GSM (grams per square meter), fabric construction, composition, body parts, yarn counts, machine dia, machine gauge, fabric dia, etc. 

The dataset can be used in predicting and classifying the most important parameters such as GSM, Stitch length, rejection etc. Different types of data mining can also be performed here such as the interrelation of GSM and stitch length for various types of fabric construction. New features can also be generated using domain knowledge.
DOI: 10.6084/m9.figshare.13106126.v1
title: FTIR

description: Diffuse Reflectance Infrared Fourier Transform (DRIFT) spectroscopic analyses of soil and saprock at four study sites located along an elevation transect, from 405 m to 2700 m, on the western slope of the southern Sierra Nevada, California.<br>
DOI: 10.6084/m9.figshare.25037081.v1
title: Supplement table3.docx

description: Suppl Table 3: The 4-primers system sequences for small indels screening.
DOI: 10.17632/4wzgh8nwzr
title: A Grand-Potential Based Phase-Field Approach for Simulating Growth of Intermetallic Phases in Multicomponent Alloy Systems

description: The MATLAB scripts and the C++ source code used to generate the results in the paper entitled "A Grand-Potential Based Phase-Field Approach for Simulating Growth of Intermetallic Phases in Multicomponent Alloy Systems" are shared in this dataset. The MATLAB scripts in the folder "Precomputed properties" require TCNI8 database for thermodynamic properties and MOBNI4 and MOBFE2 databases for kinetic properties. TC-Toolbox (ThermoCalc) for MATLAB is also needed to run these scripts. All scripts generate a CSV-formatted data file containing the required properties per phase. These data files have to be supplied to the ".i" files contained in the folder "MOOSE source files/i_files" for running the phase-field simulations. The C++ source files, which are developed using MOOSE, reside in the folder "MOOSE source files/src". Each source code has its own header file in the folder "MOOSE source files/include".
DOI: 10.17632/dknw9hr78r
title: MESAFace, a graphical interface to analyze the MESA output

description: Abstract MESA (Modules for Experiments in Stellar Astrophysics) has become very popular among astrophysicists as a powerful and reliable code to simulate stellar evolution. Analyzing the output data thoroughly may, however, present some challenges and be rather time-consuming. Here we describe MESAFace, a graphical and dynamical interface which provides an intuitive, efficient and quick way to analyze the MESA output. Title of program: MESAFace Catalogue Id: AEOQ_v1_0 Nature of problem Find a way to quickly and thoroughly analyze the output of a MESA run, including all the profiles, and have an efficient method to produce graphical representations of the data. Versions of this program held in the CPC repository in Mendeley Data AEOQ_v1_0; MESAFace; 10.1016/j.cpc.2012.12.023 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/g7rhtwnn8m
title: Assessing food transition in Brazil with C and N isotopes

description: The main objective of this dataset is to use on investigating diet patterns among rural and urban populations of the Center-West, Northeast, and Amazon regions of Brazil through the carbon and nitrogen isotopic composition of fingernails. Fingernails were sampled in clusters encompassing a major city, town, and rural village. A total of 1952 fingernails were analyzed. Fingernails were clipped by donors using fingernail clippers. In the laboratory, samples were cleaned then weighed in small tin capsules before being isotopically analyzed for carbon and nitrogen. The overall mean d13C and d15N were -19.7±2.8‰ and 10.6±1.1‰, respectively. The present dataset might have many applications using bulk isotope interpretations despite the new methodologies (relied on both specific food items but also on specific tissue monomers), such as on human nutrition studies but especially in tracking human movements in forensic anthropology studies in the contemporary world. In this context, our dataset could be a good baseline for such studies in the Neotropics.
DOI: 10.17632/kdcr9rrg6r
title: UFPS_Saber_Pro_2018_2022

description: This dataset contains the data of the Saber Pro tests results for the Academic Program of Electronics Engineering at the Francisco de Paula Santander University for 2018-2022.
DOI: 10.6084/m9.figshare.12279350.v1
title: validation(1000)

description: Validation dataset
DOI: 10.17632/7td5x9nvwm
title: CHAT GPT

description: chat gpt paper
DOI: 10.17632/gjpw58p6pz
title: An image dataset of Bangladeshi banana variety

description: A comprehensive image dataset of various types of reknown bananas in Bangladesh. This dataset contains a total of 1351 HD image data in JPG format. The banana variety is collected from different marketplace of Dhaka. 
There are 6 types of mangoes in this dataset which contains un-uniforme numbers of image data:
1. Bichi (156 images)
2. Campa (269 images)
3. Kach (219 images)
4. Shobri (178 images)
5. Sagor (295 images)
6. Bangla (230 images)
Each of the variety images are unique and captured from various angle so that the bananas size, shape and texture can be recognize shaprly during image processing. Also, the Dataset is in ZIP format where it contains root folder "Banana_Dataset_1351.zip" which contains 6 sub folders for each variety of banana.
Moreover, this dataset is a state-of-the-art banana variety dataset.
DOI: 10.17632/nypjd55cgr
title: Supplementary figures for Identification of the key genes in Sanhe cattle for health and milk composition traits based on the WGCNA

description: Gene expression pathway activity and WGCNA analysis results of Sanhe cattle and Holstein cattle
DOI: 10.6084/m9.figshare.14306861.v1
title: Data COVID pandemic in Madrid

description: Dataset used in a paper on the factors influencing the spread of the COVID-19 pandemic in the region of Madrid (Spain). Data were taken for municipalities and districts
DOI: 10.17632/7z8yx644hb
title: Tracking in-situ checkpoint inhibitor bound target T cells in checkpoint colitis : Additional Data

description: Additional Tables and Data for "Tracking in-situ checkpoint inhibitor bound target T cells in checkpoint colitis" by Gupta et al. 
Patients with Checkpoint inhibitor-induced colitis (CPI_colitis), Checkpoint inhibitor treatment without colitis (CPI_control), Ulcerative colitis (UC_I/UC) and Healthy Controls (HC) investigated with single-cell RNA sequencing and spatial transcriptomics
DOI: 10.6084/m9.figshare.25602021.v1
title: Data: <b>Thermoelectric Active Cooling for Transient Hot Spots in Microprocessors</b>

description: Data for interpret, verify and extend the study of <b>Thermoelectric Active Cooling for Transient Hot Spots in Microprocessors</b>.
DOI: 10.6084/m9.figshare.28721363.v1
title: Semaglutide ameliorates diabetes-associated cognitive dysfunction in mouse model of type 2 diabetes

description: <b>Background:</b> Type 2 diabetes mellitus (T2DM) is associated with cognitive dysfunction, which significantly impacts the quality of life. Semaglutide, a glucagon-like peptide-1 (GLP-1) receptor agonist, has shown potential neuroprotective effects. This study investigates the efficacy of semaglutide in ameliorating cognitive dysfunction in a mouse model of T2DM.<b>Methods:</b> Male C57BL/6J mice were fed a high-fat diet for four weeks and received a single intraperitoneal injection of streptozotocin (150 mg/kg) to induce T2DM. All mice were divided into four groups: control, diabetes control (T2DM), semaglutide treatment (semaglutide, 0.1 mg/kg) and dapagliflozin treatment (dapagliflozin 1 mg/kg). Cognitive function was assessed using the Morris water maze (MWM) test. Histomorphological analysis of hippocampal tissues was performed using H&E and Nissl staining. Immunofluorescence was used to assess LRP1 expression and apoptosis. Biochemical analyses measured oxidative stress markers (SOD, MDA) and inflammatory cytokines (IL-1β, IL-6, TNF-α, CRP).<b>Results:</b> Semaglutide treatment significantly reduced blood glucose levels in diabetic mice. In the MWM test, semaglutide-treated mice showed reduced escape latencies, indicating improved spatial learning and memory. Histomorphological analysis revealed preserved neuronal structure in the hippocampus with reduced neuronal damage and apoptosis in the semaglutide-treated group. Immunofluorescence showed increased LRP1 expression and decreased apoptosis. Biochemical analyses indicated that semaglutide reduced oxidative stress and inflammatory markers, further supporting its neuroprotective effects.<b>Conclusions:</b> Semaglutide effectively ameliorates cognitive dysfunction in T2DM mice, likely through mechanisms involving the reduction of oxidative stress, inflammation, and neuronal apoptosis. These findings suggest that semaglutide has potential as a therapeutic agent for managing diabetes-associated cognitive decline. Further research, including long-term studies and clinical trials, is necessary to validate these findings and explore the broader applicability of semaglutide in treating cognitive impairments in diabetic patients.
DOI: 10.17632/f24x2p6b5h
title: Clip #5

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/tndxfv9nng
title: Painting Style-Based Recognition of Potters: Using Convolutional Neural Network Techniques

description: Measurement data, convolutional neural network models and their identification results discussed
DOI: 10.6084/m9.figshare.16958353.v1
title: Metadata record for: A global coral-bleaching database (GCBD), 1980–2020

description: This dataset contains key characteristics about the data described in the Data Descriptor A global coral-bleaching database (GCBD), 1980–2020. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.22941149.v2
title: Supplementary files for publication: Computational investigation of <em>cis</em>-1,4-polyisoprene binding to the latex clearing protein LcpK30

description: Input and output information from the computational analysis, including Caver and fpocket setups; GOLD docking protocols; additional analysis from MD simulations and full MD inputs; and details on protein-ligand docking results
DOI: 10.6084/m9.figshare.24964275.v1
title: Final LCZ maps with post-classification processing

description: This compressed folder contains annual CONUS-wide LCZ maps ranging from 1986 to 2020, which is the main and final LCZ product of this dataset. The maps are derived from a lightweight contextual Random Forest model with spatial and temporal post-classification processing. Each map is provided in the Geo TIFF file format with representing year indicated in the file name. For example, the file "TP_2020.tif" represents the LCZ map for 2020. All LCZ maps have a spatial resolution at 100m and projection of USA Contiguous Albers Equal Area Conic (EPSG=5070). The LCZ classes are indicated by numbers 1-17. Note that LCZ class 7 (Lightweight low-rise) is not present in this dataset. Pixels of value 0 represents NoData.
DOI: 10.6084/m9.figshare.25600947.v1
title: Single Flow Battery Resistance Experiments - Raw Data

description: Zinc-bromine single flow battery resistance data.
DOI: 10.6084/m9.figshare.29144975.v1
title: VBD F1000Research data sheet

description: Vector-borne diseases transmitted by various arthropods account for approximately 17% of the global burden of infectious diseases. These arthropods, especially mosquitoes, are particularly rampant in Mangalore because of the humid coastal climate and scaling urbanization.
DOI: 10.17632/tdkb5rpsch
title: Chronic Pain Audio Dataset

description: The Chronic Pain Audio Dataset comprises 256 audio recordings in Spanish from patients aged between 24 and 84 years who suffer from musculoskeletal pain. The purpose of this study is to contribute a dataset for the classification of pain levels into the following categories: None (Nada), Low (Bajo), Medium (Medio) and Strong (Fuerte).
The audio recordings were collected from diverse sources to ensure representativeness and diversity. They include interviews with individuals attending medical consultations and physiotherapy treatments, as well as voluntary contributions recorded during a knee prosthesis surgery campaign.
The recordings employ a verbal scale to describe the intensity of pain experienced by patients at the time of the interview. After being recorded, the audio data underwent processing to enhance its quality, involving stages of selection, trimming, and normalisation. During these procedures, it was determined that an optimal length for usability is between 1 and 5 seconds. Volume normalisation and the removal of silences were applied to produce high-quality audio, suitable for use in training machine learning models.
DOI: 10.6084/m9.figshare.20226285.v1
title: Normalized Remote Sensing Agricultural GPP Monsoon 2009

description: agricultural gross primary productivity
DOI: 10.6084/m9.figshare.25699164.v2
title: collocation

description: <b>A new statistical method for analyzing point collocations</b>
DOI: 10.6084/m9.figshare.c.3850756_d4.v1
title: Additional file 13: Table S5. of A comparison of Illumina and Ion Torrent sequencing platforms in the context of differential gene expression

description: Spearman and Pearson correlation coefficients for Illumina vs Ion Torrent fold-change comparison. Spearman and Pearson correlation coefficients between Illumina and Ion Torrent log2 fold-change values, within each alignment algorithm. Separate correlation coefficients were calculated for DEGs identified by both platforms, by Illumina only, and by Ion Torrent only. (XLSX 9Â kb)
DOI: 10.17632/chrc52k4f5
title: Data for: Datasets on how misinformation promotes Immune perception of COVID-19 pandemic in Africa

description: Data used for the study, raw data from the survey, questionnaire, and R code
DOI: 10.6084/m9.figshare.17285273.v1
title: Pan-genome for diploid Gossypium species

description: Pan-genes, SVs, flLTRs for diploid Gossypium species
DOI: 10.6084/m9.figshare.29135174.v1
title: Soft gripper grasping object and touch of the ionic skin.

description: This work presents a novel framework for cross-modal sensory integration in soft robotics, combining bioinspired piezoionic hydrogel sensors with event-driven neuromorphic computation to achieve human-like tactile-visual perception.
DOI: 10.17632/5bhwp4t8xb
title: Data Set on Households Preferences on Energy Label in Malaysia

description: We collected primary data from 799 households in Malaysia to determine their preferences regarding energy labels when buying a refrigerator. The dataset is organized based on the commands used for the econometric software NLogit. This data will be utilized for in-depth analysis, specifically to determine the marginal willingness to pay (MWTP) using the Choice Experiment method. The provided data presents a comprehensive overview of the socio-demographic information gathered during the field survey from the participating individuals. Understanding households' energy label preferences is essential for promoting sustainability. By influencing consumer behavior towards energy-efficient choices, we can contribute to mitigating climate change and protecting the environment while conserving valuable resources.