cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28883489.v1
title: Parkinson_data.csv

description: The dataset comprises baseline chracteristic of Parkinson's disease patients (53) and healthy subject (47). A file, including tapping feature on finger tapping that extract by computer vision.The tapping signal:Tapping Score: rp_count, lp_countTapping Difference: tap_diffMean Tapping Amplitude: rp_mean, lp_meanTapping Variation: rp_std, lp_stdAmplitude Decrement 5: rp_diff5, lp_diff5Amplitude Decrement 10: rp_diff10, lp_diff10
DOI: 10.6084/m9.figshare.3551880.v1
title: Appendix A. A table showing the results of the two-way ANOVAs examining differences in above- and belowground eelgrass parameters of different eelgrass genotypes submitted to nitrogen addition.

description: A table showing the results of the two-way ANOVAs examining differences in above- and belowground eelgrass parameters of different eelgrass genotypes submitted to nitrogen addition.
DOI: 10.17608/k6.auckland.4505618.v2
title: retrieve waveforms with FDSN client in obspy

description: A jupyter notebook to retrieve seismic waveforms from events in a previously established catalogue, for stations in a previously established inventory
DOI: 10.17632/3d48nj9nww
title: dataset: Six-minute Walk Test of Nigerian Children

description: Dataset of 627 children aged 6 to 11 years included into a cross-sectional study of the six-minute walk distance of healthy Nigerian children in Ikeja, Lagos Nigeria, from 14 primary schools. For details, see published study and accompanying supplementary at https://doi.org/10.1002/ppul.25986.
DOI: 10.17632/jd8w5r3ncw
title: A Comprehensive View-Dependent Dataset for Objects Reconstruction - Kinect Azure Set

description: The dataset was collected by moving the Kinect Azure camera above a set of real objects located on the ArUco board that was used to estimate the camera pose. To estimate the camera poses for the objects from the subset of real objects, we used the ArUco board, which consisted of a grid of 7x5 unique ArUco markers. We placed the object on the ArUco board and utilized the OpenCV library methods to estimate the camera poses located around the object and the marker. For estimating camera poses and creating the 3D model of the objects, we employed an ArUco board featuring a grid of 7x5 distinctive ArUco markers. By situating the object on the ArUco board, we utilized OpenCV library methods to calculate the camera poses positioned both around the object and the markers.
DOI: 10.17632/p28ncjnvgk
title: Stair dataset with depth maps

description:     We provide a stair dataset with depth maps and fine annotations for stair detection research.
    The  training set contains 2388 RGB maps and 2388 corresponding depth maps, and the validation set contains 608 RGB maps and 608 corresponding depth maps. Each label contains the classification(convex/concave) and the location of the two endpoints of each stair line. All the images are padded and resized to 512 × 512 to simplify the data loading process. All the images in the dataset are taken in the actual scenes. In detail, we use the RealSense Depth Camera D435i to collect images from actual scenes at Beihang University and some public gardens.
    The annotation form of the dataset is as follows:
    cls x1 y1 x2 y2/n
    ...
    Each stair line is represented by the above five-tuple data, where cls represents the class of the stair line, 0 represents a convex line and 1 represents a concave line. X1 and y1 represent the coordinates of the left endpoint of the stair line, and x2 and y2 represent the coordinates of the right endpoint of the stair line. The label is stored in a text file and associated with the RGB map and depth map through the file name.
    This dataset can be used for the development of stair perception in intelligent autonomous system, such as humanoid robots, rescue robots and exoskeleton robots.
DOI: 10.23645/epacomptox.5588605.v4
title: Archived Distributed Structure-Searchable Toxicity (DSSTox) Data

description: The most updated EPA DSSTox data files are available https://doi.org/10.23645/epacomptox.5588566 . EPA’s Distributed Structure-Searchable Toxicity (DSSTox) database contains curated chemical substances mapped to data including chemical identifiers (i.e., chemical synonyms, systematic names, CAS Registry Numbers and others) and, where appropriate, chemical structure representations. The goal for DSSTox is to accurately represent chemical substances, their structures and identifiers, as well as relevant chemical lists which are important to the environmental research and regulatory community.Science Inventory, CCTE products: https://cfpub.epa.gov/si/si_public_search_results.cfm?advSearch=true&showCriteria=2&keyword=CCTE&TIMSType=&TIMSSubTypeID=&epaNumber=&ombCat=Any&dateBeginPublishedPresented=07/01/2017&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&DEID=&personName=&personID=&role=Any&journalName=&journalID=&publisherName=&publisherID=&sortBy=pubDate&count=25
DOI: 10.6084/m9.figshare.11862327.v1
title: Force curves from Fig. S6a, Efremov, Y.M., Bagrov, D.V., Kirpichnikov, M.P., Shaitan, K.V., 2015. Application of the Johnson–Kendall–Roberts model in AFM-based mechanical measurements on cells and gel. Colloids Surfaces B Biointerfaces 134, 131–139. doi:10.1016/j.colsurfb.2015.06.044

description: Force curves from Fig. S6a, Efremov, Y.M., Bagrov, D.V., Kirpichnikov, M.P., Shaitan, K.V., 2015. Application of the Johnson–Kendall–Roberts model in AFM-based mechanical measurements on cells and gel. Colloids Surfaces B Biointerfaces 134, 131–139. doi:10.1016/j.colsurfb.2015.06.044<br>Parameters:InvOLS: 61 nm/nACantilever spring constant: 0.055 nN/nmTip radius: 4500 nm
DOI: 10.6084/m9.figshare.14035814.v2
title: Data and code for pollination network analysis

description: plant-pollinator interaction matices, prepared environmental variables and network indices as well as code to reproduce the results.
DOI: 10.6084/m9.figshare.22765112.v4
title: DepMap 23Q2 Public

description: This DepMap release contains data from CRISPR knockout screens from project Achilles, as well as genomic characterization data from the CCLE project.<br>For more information, please see README.txt.
DOI: 10.6084/m9.figshare.24580672.v1
title: Raw data.xlsx

description: Statistical analysis of the size difference between spawned and unspawned mussels raw data
DOI: 10.6084/m9.figshare.28589978.v1
title: JSBM March 2025_Two Types of Embeddedness on Novelty

description: 300 Opportunities identified by Prolific Research Participants in Fall 2023 and February 2024 from Healthcare and Fishing industry. Separately each opportunity was evaluated by 2 industry experts for novelty via Prolific Research.
DOI: 10.6084/m9.figshare.29114669.v1
title: SEA300_417rDNA_variant_calls

description: Variant call file from short read sequencing for near isogenic C. elegans line with ~417 rDNA copies (SEA300)
DOI: 10.6084/m9.figshare.29132651.v1
title: Models and Dataset

description: <b>P3DE (Parameter-less Population Pyramid with Deep Ensemble):</b><br>P3DE is a hybrid feature selection framework that combines the Parameter-less Population Pyramid (P3) metaheuristic optimization algorithm with a deep ensemble of autoencoders. Designed for high-dimensional biological data, P3DE dynamically evaluates candidate feature subsets using an ensemble of autoencoders with different activation functions (Sigmoid, Tanh, ReLU). Ensemble weights are computed based on initial, historical, and functional reconstruction performance. This parameter-free, adaptive architecture enhances exploration and avoids overfitting, making P3DE a robust tool for biomarker discovery in gene expression datasets.<br><b>TJO (Tom and Jerry Optimization):</b><br>TJO is a nature-inspired metaheuristic algorithm that models the predator-prey dynamics of the cartoon characters Tom (predator) and Jerry (prey). Operating in a binary search space, TJO simulates intelligent and evasive movements of the prey to guide the population toward optimal solutions. The algorithm does not rely on predefined control parameters like crossover or mutation rates, which makes it lightweight and easy to implement for various feature selection and optimization tasks.<br><b>RAO (Rao Optimization Algorithm):</b><br>RAO is a parameter-less optimization algorithm that updates solutions based on simple arithmetic operations involving the best and worst individuals in the population. Unlike conventional evolutionary algorithms, RAO does not use mechanisms such as crossover, mutation, or selection. Its simplicity and lack of algorithm-specific parameters make it computationally efficient and easy to apply in high-dimensional problems such as gene selection for cancer classification.
DOI: 10.6084/m9.figshare.3487568.v1
title: Tests on Thin Reinforced Concrete Walls Subjected to In-plane and Out-of-plane Cyclic Loading - TW1 (2/3)

description: The present dataset describes an experimental campaign on five thin T-shaped reinforced concrete walls. The tests aimed at assessing the influence of wall thickness on member stability, the role of lap splices on damage distribution and displacement ductility, and the effects of the simultaneous application of out-of-plane loading on the member response. Further data can be downloaded from the links below. If you use the data, please cite: Almeida, J. P., O. Prodan, A. Rosso, and K. Beyer. 2016. Tests on Thin Reinforced Concrete Walls Subjected to in-Plane and out-of-Plane Cyclic Loading. <i>Earthquake Spectra</i>.
DOI: 10.6084/m9.figshare.5630305.v1
title: A map of trees crowns in Camden, UK

description: Tree crown layer for Camden, UK produced by analysing LiDAR data provided by the UK Environment Agency.
DOI: 10.60893/figshare.pte.28706156.v1
title: Supplement Number 1

description: Raw data and diagrams of the experiment
DOI: 10.17632/28y9tjyvn3
title: Car Park Preference Data

description: For both SAV and non-SAVs, the trip event is initiated as they enter the network from the three various entrances. These entities decide the route to individual carparks using carpark preference survey data. Although it is difficult to gather data of all routes and carpark choice a driver decides to choose but a weeks’ carpark count gave an indication on how drivers choose their parking assuming that all vehicles eventually end up in a carpark. These counts carried out between 11-15 June 2018 provides information about user preference for the jth car park entity over the others in the system. It also provides information on the daily car usage against capacity.
DOI: 10.17632/8thw5fb2t3
title: Data for: Monitoring and Modeling of Spatio-Temporal Urban Growth of Delhi, India using Cellular Automata and Geoinformatics
DOI: 10.17632/brktm9jpc6
title: Rice straw biochar application improves topsoil aggregate accumulation and rice uptake of phosphorus

description: Study on the effect of gradient biochar application on phosphorus in red paddy soil
DOI: 10.17632/dnwvysg4rc
title: Worm gear and worm gear vibration data

description: Worm gear and worm gear vibration data
DOI: 10.17632/hjgtsmyyv5
title: In vivo two-photon calcium imaging dataset_Day 7

description: Two-photon calcium imaging was performed using resonant scanning two-photon microscopy (B-scope; Thorlabs, USA), and a Ti:Sapphire pulsing laser (Chameleon Ultra II, Coherent, USA) tuned to 920 nm. GCaMP6f fluorescence emission was isolated by a band-pass filter (525/50, Semrock, USA) and detected by a GaAsP photomultiplier tube (Hamamatsu, Germany). Images were acquired through a 20x water immersion objective (1.00 N.A.; Olympus, Japan) with a frame rate of 14.7 Hz (real-time averaging by 4) for bidirectional scanning at a resolution of 256 x 256 pixels (300 x 300 µm field of view) and controlled by ThorImageLS imaging software (version 2.4). In order to prevent light leakage from the VR displays into the microscope, a custom-made black foam ring was used between the microscope objective and the head-plate. Imaging and behavioral data were synchronized by custom-written code (MATLAB, MathWorks, MA, USA). Images were collected at a single L2/3 focal plane per animal at cortical depths between 120 and 180 µm, and the same RSC region was imaged across multiple days.
DOI: 10.17632/hp7knm4zp9
title: Dataset thermal comfort, stress perceived and anxiety in university students under confinement for COVID 19 in a region hot and humidity of Mexico

description: The COVID-19 disease has become a public health emergency of international concern, affecting all areas of individual development. Likewise, considering home confinement, environmental conditions become a factor that should be considered as a mediator in the behavior and health of the individual. 

This dataset contains data for the estimation of thermal comfort levels (thermal and humidity) and mental health (stress perceived and anxiety) in a sample of university students in the South of Mexico, with ages between 18 and 43 years old and an average of 20. 67 years old, in different physical conditions under COVID - 19 confinement and residing in different types of housing, the data were collected through a web platform (Microsoft Forms), where anonymous users answered each question, then the information was processed obtaining 316 records (172 females and 144 male) and 2 independent sets, the first set refers to thermal comfort and the second set to mental health, the first set refers to thermal comfort and the second set to mental health, the second set refers to thermal comfort and humidity.  and the second set refers to mental health, respectively. The surveys were generated and analyzed based on the scales suggested by the original authors of the instruments. by the original authors of the instruments.  These are described continuum:

• A questionnaire of personal information (to obtain the sociodemographic information, school data, Internet connection, and health characteristics). (Own elaboration).
• Adaptation of the Questionnaire of Indoor Thermal Environments: Where questions were asked about the environment where they were located, information about their clothing, perception of the environment, and the scales of thermal sensation and humidity.
• The Scale of Stress Perceived of Cohen (PSS-14), that measures the degree to which life situations are perceived as stressful. This consists of seven are worded negative (1, 2, 3, 8, 11, 12, and 14), and the remaining seven are positive (4, 5, 6, 7, 9, 10, and 13). Each item was rated on a five-point Likert-type scale (0 = never to 4 = very often). Total scores are calculated after reversing positive items' scores and then summing up all scores. Possible total scores for PSS-14 range from 0 to 56. A higher score indicates greater stress.
• Beck Anxiety Inventory (BAI). It consists of 21 items that evaluate symptoms of anxiety on a four-point Likert scale ranging from 0 = “not at all” to 3 = “severely.” The anxiety level was scored using ordinal categories: normal (0–7 points), mild (8–15), moderate (16–25) and severe (26–63).
DOI: 10.17632/zbk2wz5zsj
title: SARS-CoV-2 CGR Genome Image Dataset

description: This dataset comprises image representations generated through the Chaos Game Representation (CGR) of SARS-CoV-2 complete genome sequences. Designed to support a wide array of computational biology and deep learning tasks, it facilitates not only the classification of viral variants but also opens avenues for diverse analytical studies due to its rich, image-based genomic encoding.
DOI: 10.17632/znvw6hr4px
title: The Role of Organizational Justice in Predicting Job Satisfaction and Turnover Intention: Evidence from Indonesian Banks

description: The data supporting this study were collected from a survey of 204 respondents and comprise six variables: procedural justice, interactional justice, distributive justice, job satisfaction, turnover intention, and flexible work arrangements (FWAs) to support this research: "The Role of Organizational Justice in Predicting Job Satisfaction and Turnover Intention: Evidence from Indonesian Banks".
DOI: 10.6084/m9.figshare.14044223.v1
title: Pediatric EEG Data & Analyses from Boston Children's Hospital

description: Analyses on 10 pediatric patients with intractable seizures based on data collected at the Boston Children's hospital using signal processing techniques to create ERP images via EEGLAB, a MATLAB toolbox. Data was extracted to Excel.
DOI: 10.6084/m9.figshare.14230427.v1
title: Supplementary material 1 of study Special Populations

description: Supplementary material 1 of study <b>Special populations: Samba, deep water and poles: a framework for exercise prescription in Parkinson's disease</b><br><b> <b>Detailed prescription of training programs.</b></b>
DOI: 10.6084/m9.figshare.22012529.v1
title: Tiny_Imagenet

description: iny Imagenet has 200 Classes, each class has 500 traininig images, 50 Validation Images and 50 test images. Label Classes and Bounding Boxes are provided. More details can be found at https://tiny-imagenet.herokuapp.com/", <br> This challenge is part of Stanford Class CS 231N
DOI: 10.6084/m9.figshare.22273402.v1
title: Flight Data

description: Data for each flight run.
DOI: 10.6084/m9.figshare.24438280.v2
title: Artificial light at night is a top predictor of bird migration stopover density

description: Spring and fall stopover density data as measured via NEXRAD (2016-2020) and predictor variables that were used to generate US-wide bird migration stopover maps.STEM modeling code for Spring boosted regression.Additionally, rasters in GeoTiff format are provided for spring and fall. Two versions for both seasons are included, one quantifying absolute stopover density (e.g., spring_stopover_2500_v9.tif) and one categorized as a hotspot (low, medium and high, e.g., spring_stopover_2500_v9_265_class.tif).
DOI: 10.6084/m9.figshare.28054874.v2
title: SC-PREC4SA data

description: Files (.csv) for each station that include the nine daily precipitation (mm/day) outputs for the development of a serially complete daily precipitation dataset for South America (SC-PREC4SA) from 1960 to 2015. Each file contains the following information (<b>headers</b>): time step (<b>time_step</b>), raw time series (<b>raw_obs</b>), quality-controlled time series (<b>qc_obs</b>), gap-filling model prediction (<b>mod_pred</b>), gap-filling model prediction with a bias correction (<b>bc_pred</b>), error of gap-filling model prediction (<b>err</b>), quality-controlled time series plus mod_pred (<b>obs_mod</b>), quality-controlled time series plus bc_pred (<b>obs_bc</b>), homogenized time series of obs_mod (<b>hmg_obs_mod</b>); and, homogenized time series of obs_bc (<b>hmg_obs_bc</b>). Due to the number of stations, files are subdivided by ecoregions compressed folders (.zip).
DOI: 10.6084/m9.figshare.28731242.v1
title: <b>The Prevalence Of Intraventricular Hemorrhage And Its Related Risk Factors Among Preterm Neonates</b>

description: <b>Introduction:</b>Intraventricular hemorrhage (IVH) is a serious concern for preterm infants and can predispose such infants to brain injury and poor neurodevelopmental outcomes.<b>Aim:</b>The present study aimed to determine the frequency of IVH and its risk factors in the premature newborns admitted to the Neonatal Intensive Care Unit (NICU).<b>Methodology:</b>This cross-sectional study involved 201 preterm neonates admittedin NICU. These neonates were diagnosed by cranial ultrasound. IVH was classified into four grades based on Papile classification. The frequency of IVH was compared across various attributing factors i.e., gestational age at delivery, gender, birth weight, mode of delivery, and maternal antenatal steroids.<b>Results</b>Two hundred and one patients were analyzed (male 50.7% vs. female 49.3%). 51.2% had a gestational age of 29 weeks or less. about (54.2%) had a birth weight of ≤1200g. The incidence of IVH in a 7-year duration was 41.8%, with stage 1 (41.7%) and stage 2 (34.5%) being the most common IVH stages. Multivariate regression analysis revealed that CHD, seizure, and ROP were identified as the significant predictors of IVH among preterm infants.<b>Conclusion:</b>IVH in premature infants remains a complex and delicate issue in neonatology. An integrated approach covering both prevention and treatment is essential to minimize the negative impact of this complication on the neurological development of premature infants.
DOI: 10.17632/d3ykf83tyv
title: Transcriptomic analysis of Human gastric cancer

description: Gastric cancer is the fifth common malignancy and the third leading cause of cancer-associated mortality worldwide. Therapeutic options for the treatment of GC remains inadequate, therefore understanding the underlying molecular mechanisms of the gastric carcinogenesis and identify sensitive biomarkers could be helpful for the prevention and treatment of the disease. Currently, the high-throughput sequencing techniques, in particular the RNA-seq method represents an advanced approach to evaluate the transcriptional changes between tumor and healthy samples. We performed an AmpliSeq Transcriptome analysis (RNA-seq) of 24 gastric tumors (and their matched normal tissues), according to the Lauren classification using the Ion S5 Sequencer with Torrent Suite Software v10.
DOI: 10.17632/gpdsgm3xxj
title: 3D printed neat and short fiber reinforced polypropylene - Tensile characterization

description: Tensile characterization of 3d printed ISO 527-2 type 1A multi-purpose specimens of neat polypropylene (HJ120UB by Borealis) and short fiber reinforced polypropylene (GD301FE by Borealis).

Filament with 1.75mm diameter was produced and all specimens were printed using a Prusa i3 MK3S equiped with a Bondtech LGX extruder and a 0.6mm nozzle.

Nomenclature:
e.g. GD301FE_0-0-P_T255_1.txt
GD301FE ... material grade
0-0 ... orientation in degrees of linear fill layers (0-90 would be a cross ply lay-up with alternating 0° and 90° layers)
P ... indicates additional print perimeters
1 ... last number equals the number of repeats

All text files contains the test parameters, the specimen geometry as well as evaluated single point data.
The data columns contain nominal strain (%), nominal stress (MPa), time(s) and cross-head displacement(mm).
DOI: 10.17632/m9sfjxn8c5
title: Pulmonary infection induces persistent, pathogen-specific lipidomic changes influencing trained immunity : Supporting Data

description: Supporting lipidomics and metabolomics datasets for "Pulmonary infection induces persistent, pathogen-specific lipidomic changes influencing trained immunity " iScience 2021
DOI: 10.17632/rcsyywrdf9
title: Local Global Watchdogs: Trade, Sourcing and the Internationalization of Social Activism

description: The data contains individual NGO-level campaigns towards multinational firms. Each of the folders below contains do files that allow to replicate all the tables and graphs in the paper.
DOI: 10.17637/rh.6480530.v1
title: Shoreline data

description: Raw data used in the palaeoshoreline elevation and histogram analyses
DOI: 10.25405/data.ncl.28691225.v1
title: NYC Taxi Trip Data 2013 - Excerpt

description: This dataset is an anonymised excerpt of New York City Taxi trip data for the month of January 2013, in CSV format. The fields are below:medallion ID. 00000000000000000000000000000000 for all recordslicence ID. 00000000000000000000000000000000 for all recordspick-up timestamp. Format "%Y-%-m-%-d %H:%M:%S"drop-off timestamp. Format "%Y-%-m-%-d %H:%M:%S"trip time in secondstrip distance (miles)pickup latitudepickup longitudedrop-off latitudedrop-off longitudepayment type ("CRD" for card, else Cash)fare amount (US dollars)surcharge (US dollars)MTA Tax (US dollars)Tip amount (US dollars)Tolls amount (US dollars)Total amount (US dollars)This data-set is an anonymised derivation of one produced by the DEBS 2013 Grand Challenge authors which is no longer available. It, in turn, was an excerpt (1,999,999 records) from a larger data-set obtained by Chris Whong via Freedom Of Information Law (FOIL) NYC Taxi and Limousine Commission.The data Whong circulated is available from archive.org. The NYC Taxi and Limousine Commission now publish this data themselves, in Parquet format, at https://www.nyc.gov/site/tlc/about/tlc-trip-record-data.page.<br>