cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28029272.v2
title: Human Impedance Modulation to Improve Visuo-Haptic PerceptionHuman Impedance Modulation to Improve Visuo-Haptic Perception

description: Humans activate muscles to shape the mechanical interaction with their environment, but can they harness this control mechanism to best sense the environment? We investigated how participants adapt their muscle activation to visual and haptic information when tracking a randomly moving target with a robotic interface. The results exhibit a differentiated effect of these sensory modalities, where participants' muscle cocontraction increases with the haptic noise and decreases with the visual noise, in apparent contradiction to previous results. These results can be explained, and reconciled with previous findings, when considering muscle spring-like mechanics, where stiffness increases with cocontraction to regulate motion guidance. Increasing cocontraction to more closely follow the motion plan favors accurate visual over haptic information, while decreasing it avoids injecting visual noise and relies on accurate haptic information. We formulated this active sensing mechanism as the optimization of visuo-haptic information and effort. This OIE model can explain the adaptation of muscle activity to unimodal and multimodal sensory information when interacting with fixed or dynamic environments, or with another human, and can be used to optimize human-robot interaction. All the experiment data, processing codes and modelling codes could be found in this file.
DOI: 10.6084/m9.figshare.4003485.v2
title: Sensitive data: legal, ethical and secure storage issues

description: Slides from the introduction to a panel session at eResearch Australasia (Melbourne, October 2016). <br>Panellists: Kate LeMay (Australian National Data Service), Gabrielle Hirsch (Walter and Eliza Hall Institute of Medical Research), Gordon McGurk (National Health and Medical Research Council) and Jeff Christiansen (Intersect).<br><b>Short abstract</b>Human medical, health and personal data are a major category of sensitive data. These data need particular care, both during the management of a research project and when planning to publish them. The Australian National Data Service (ANDS) has developed guides around the management and sharing of sensitive data. ANDS is convening this panel to consider legal, ethical and secure storage issues around sensitive data, in the stages of the research life cycle: research conception and planning, commencement of research, data collection and processing, data analysis storage and management, and dissemination of results and data access. The legal framework around privacy in Australia is complex and differs between states. Many Acts regulate the collection, use, disclosure and handling of private data. There are also many ethical considerations around the management and sharing of sensitive data. The National Health and Medical Research Council (NHMRC) has developed the Human Research Ethics Application (HREA) as a replacement for the National Ethics Application Form (NEAF). The aim of the HREA is to be a concise streamlined application to facilitate efficient and effective ethics review for research involving humans. The application will assist researchers to consider the ethical principles of the <i>National Statement of Ethical Conduct in Human Research (2007) </i>in relation to their research. National security standard guidelines and health and medical research policy drivers underpin the need for a national fit-for-purpose health and medical research data storage facility to store, access and use health and medical research data. med.data.edu.au is an NCRIS-funded facility that underpins the Australian health and medical research sector by providing secure data storage and compute services that adhere to privacy and confidentiality requirements of data custodians who are responsible for human-derived research datasets.
DOI: 10.6084/m9.figshare.7895201.v1
title: gVCF_HG01602

description: 1000 Genomes gVCF mapped to hs37d5 for HG01602. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.17632/9zz9zzyc7r
title: IMDAA Evaluation

description: Datasets required for publishing a research article in JGR - Atmospheres
DOI: 10.17632/kb2jkdf7fs
title: ESG data

description: ESG
DOI: 10.17632/vwm4b5h39r
title: Management Information Systems in Indonesia Research Dataset (1989-2020)

description: The management information systems in Indonesia research and publication dataset, which was indexed by Scopus from 1989 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: 10.6084/m9.figshare.10257458.v1
title: Digital holograms of isolated HL60 cell nuclei

description: <b>Digital holograms of isolated HL60 cell nuclei<br></b><br>These data were originally used by Schürmann et al. [1] for the<br>quantification of the refractive index of isolated HL60 cell nuclei.<br><br><br>Raw data<br>The data are related to [1] according to the following scheme<br>(last part before suffix indicates cell cycle stage):<br><br>Figure 5 - 1st measurement:<br>2014-05-29_DHM_HL60-nuclei-G1.zip<br>2014-05-29_DHM_HL60-nuclei-G2.zip<br>2014-05-29_DHM_HL60-nuclei-S.zip<br><br>Figure 5 - 2nd measurement:<br>2014-07-03_DHM_HL60-nuclei-G1.zip<br>2014-07-03_DHM_HL60-nuclei-G2.zip<br>2014-07-03_DHM_HL60-nuclei-S.zip<br><br><br>Data analysis<br>Data analysis in [1] has been performed largely manual. In [2],<br>the analysis has been revisited with DryMass [3] which enables an<br>automated data analysis. The .cfg files are DryMass configuration<br>files [4], i.e. analysis recipes that allow a complete data analysis<br>from scratch. The file "HL60nuc.cfg" contains the basic data analysis<br>recipe. The file "ignore_ROIs.txt" contains the ignored regions of<br>interest for each measurement. The other .cfg files contain the same<br>information with default values filled in by DryMass. The analysis<br>has been tested with DryMass version 0.10.0.<br><br>To run an analysis, issue e.g. the following command:<br><br> dm_analyze_sphere -p 2014-05-29_DHM_HL60-nuclei-G1.cfg 2014-05-29_DHM_HL60-nuclei-G1.zip<br><br><br>References<br>[1] M. Schürmann et al., "Cell nuclei have lower refractive index and mass density than cytoplasm," Journal of Biophotonics 9(10): 1068–1076, 2016. doi:10.1002/jbio.201500273.<br>[2] P. Müller et al., "DryMass: handling and analyzing quantitative phase microscopy images of cell-sized objects," manuscript in preparation.<br>[3] https://drymass.readthedocs.io/<br>[4] https://drymass.readthedocs.io/en/stable/sec_gs_configuration_file.html<br><br>
DOI: 10.6084/m9.figshare.29068058.v1
title: An empirical test of scale-dependence of β-diversity in a large temperate forest region

description: This is the data and code for 'An empirical test of scale-dependence of β-diversity in a large temperate forest region'. All data and code can be accessed by requesting them from the author.<br>
DOI: 10.6084/m9.figshare.17019149.v1
title: Table 3: EMG Summary (Initial Visit)

description: On EMG there was diffuse abnormalities in lower extremities with increased insertional activity, increased spontaneous activity, increased motor unit duration, diminished recruitment and decreased interference pattern with positive short waves and fibrillation potentials present. These same findings were also observed in the bilateral upper brachioradialis and bicep muscles. The lumbar paraspinals, and cervical paraspinals showed no abnormalities.<b></b>
DOI: 10.6084/m9.figshare.19351838.v1
title: Survey Data -- Factors Affecting Sustainable Clothing Purchase Intentions A Survey of Indonesian Consumers.xls

description: This data was collected using a questionnaire survey to investigate factors affecting purchase intention of sustainable clothing in Indonesia.
DOI: 10.6084/m9.figshare.23291972.v12
title: Urbanity Colab Data Files

description: Sample subzone files for Urbanity colab demo. Data obtained from GADM database.
DOI: 10.6084/m9.figshare.25391458.v1
title: emg+dataset+in+lower+limb.zip

description: 3 different exercises: sitting, standing and walking in the muscles: biceps femoris, vastus medialis, rectus femoris and semitendinosus addition to goniometry in the exercises.Each data file contains 5 columns, organized as follows.<br>Segment Lower Limb<br>Channel Ch1 Ch2 Ch3 Ch4 Ch5<br>Muscle RF BF VM ST FX<br>Column 0 1 2 3 4<br><br>
DOI: 10.17632/7skswgr2h5
title: Gene Expression Analysis of DK210 (EGFR) treatment study in a syngeneic tumor model

description: Transcriptional gene analysis from tumor infiltrating effector memory CD8 T cells in a DK210 (EGFR) study with B16F10 tumor bearing mice
DOI: 10.6084/m9.figshare.12727673.v1
title: M28seasonal_full_dataset2.csv

description: This table contains life history data (reproductive mode, fecundity, age, size and survival) of Hydra oligactis polyps. Experimental animals belong to strains that were collected from an oxbow lake near Tiszadorogma, Hungary on four distinct dates: 31th May 2018, 1st Oct. 2018, 16th May 2019, 24th Sept. 2019. After collection, founding polyps were propagated asexually for 10 weeks on 18 degrees Celsius, then cooled to 8 degrees Celsius to induce sex and record post-reproductive survival.<br> <br>The table contains the following variables:#PolypID: unique identifier of each polyp#CollectionDate: the date when the founding polyp of the strain was collected#StrainID: unique identifier of strains established from field-collected individuals#Body_size: surface area of the body column of hydra polyps in square mm#PolypAge: age of polyps in days at the time of cooling#Buds.Warm: number of buds produced by this polyp prior to cooling#Buds.Cold: number of buds produced by this polyp after cooling#SexStart: days elapsed between the date of cooling and the first appearance of gonads#SumEggs: number of eggs produced by a female polyp#MaxTestis: max no. testes observed on a male polyp#Sex: ASEX - remained asexual after cooling asexual; M - male, produced testes; F - female, produced eggs#Survival: 1 - survived; 0 - not survived#Time: Collection batch for the founding polyp of the strain. One of: 2018 spring, 2018 autumn, 2019 spring or 2019 autumn#Year: collection year#Season: collection season<br><br><br>
DOI: 10.6084/m9.figshare.13708690.v1
title: Critical current characterisation of SuperOx YBCO 2G HTS superconducting wire

description: Detailed measurements of the critical current of a commercial YBCO 2G HTS wire as a function of temperature, magnetic field, and field angle, performed at the Robinson Research Institute of Victoria University of Wellington.<br>This wire is featured in A. Molodyk et al., <i>Development and large volume production of extremely high current density YBa<sub>2</sub>Cu<sub>3</sub>O<sub>7</sub> superconducting wires for fusion</i>, Sci. Rep. <b>11</b> (2021) 2084.
DOI: 10.6084/m9.figshare.28599381.v2
title: Matrix-Factor-Augmented Regression

description: As matrix-variate observations are increasingly available, to incorporate the interplay between the multi-cross-sections, we introduce a matrix-factor-augmented regression model (M-FARM) that proposes to predict ahead of time with factors of matrix predictors augmented in the regression. We show that the estimation error in the factor matrices, estimated by the projection procedure in the first step, enters into the estimation error of the regression parameters and the prediction error of the response variable with an asymptotically negligible rate. The central limit theorems of the estimates of the regression parameters are established under some mild conditions. Forecasting intervals with a theoretical guarantee are given. Monte Carlo simulations justify the theoretical results. We find empirically that the augmented matrix factors do help in forecasting macroeconomic variables relative to the benchmark matrix autoregressive model and vector-factor-augmented regression model (V-FARM).
DOI: 10.6084/m9.figshare.7770371.v1
title: Latitudinal gradient in seed dispersal distance

description: Seed dispersal distance dataset for the Ecology Letters paper
DOI: 10.17632/ffgxxzx298
title: Thermal and visible aerial imagery

description: Thermal and visible aerial images, with their metadata, captured using the UAV Matrice 100 equiped with a visible camera (Zenmuse X3) and a thermal camera (Zenmuse XT) of a planar scene at Universidad del Valle, Cali, Colombia. The thermal images were captured using the Zenmuse XT camera on board of a Matrice 100 UAV. Altitude = 100.4 m, Speed = 6.4 m/s and Overlap ratio = 90%. The visible images were captured using the Zenmuse X3 camera on board of a Matrice 100 UAV. Altitude = 80.9 m, Speed = 6.4 m/s and Overlap ratio = 80%. Also, a georeferenced orthoimage was generated using the captured visible images and the Agisoft Metashape software. In addition, homography matrices were obtained from a small number of correspondences manually selected between the orthoimage and every thermal and visible image. File "ORTHOUV2018.TIFF" = The georeferenced orthoimage. Folder "THERMAL" - Files "LWIRXX" = Thermal aerial images. - Files "HORTHOtoLWIRXX" = The homographies between the orthoimage and the thermal aerial images. - Files "LWIR.kml" = The geospatial data related to the thermal images. Folder "VISIBLE" - Files "VSXX" = Visible aerial images. - Files "HORTHOtoVSXX" = The homographies between the orthoimage and the visible aerial images. - Files "VS.kml" = The geospatial data related to the visible images. Please, refer to this dataset trough the article from Data in Brief which is cited in the related works at the end of this page.
DOI: 10.17632/pvyfbswx4t
title: Data for: Unraveling the relationship between social moods and the stock market: Evidence from the United Kingdom

description: We have the data-set extracted from open source.
DOI: 10.17632/wzdnj532yg
title: Sikder et.al, Centromere inactivation during aging can be rescued in human cells

description: Raw unprocessed images of Immunofluorescence data and western blots
DOI: 10.6084/m9.figshare.10258241.v1
title: Quality of olive oils from southeastern Brazil

description: ABSTRACT This study aimed to characterize the volatile composition and sensory characteristics of virgin olive oils (VOOs) from eight olive cultivars grown in the southeast region of Brazil. The volatiles were extracted by Solid Phase Micro Extraction (SPME) and analyzed by Gas Chromatography coupled to MassSpectrometry (GC-MS). The dominant sensory attributes were determined by Temporal Dominance of Sensations (TDS). C5 and C6 alcohols and C6 aldehydes were the most abundant volatiles in the investigated VOOs. E-2-hexenal was among the majorityof volatiles in all investigated olive oils, mainly in VOOs fromcultivars Arbequina, Arbosana and Grappolo 541, in which it had the most of their chromatographic area (about 60-80%). VOOs from cultivars Maria da Fé, Mission, Arbosana and Arbequina were characterized by the dominance of pungency sensation, as well as Frantoio regarding to bitter. Grappolo yielded an olive oil withpredominance of bitter, and a blended VOO (Grappolo 541 and Arbequina) had predominance of green leaf. VOO from Ascolano cultivar had dominance of fruity and pungency. Overall, pungent was the main dominant sensation in most of the investigated VOOs, which can be related to C5 and C6 volatiles.
DOI: 10.6084/m9.figshare.23691336.v11
title: Public Wi-Fi Access Logs Dataset from Real-Time Crowd Monitoring System in Sri Chiang Mai Smart City

description: This project presents a real-time crowd monitoring dataset based on Sri Chiang Mai Smart City's public Wi-Fi infrastructure. Sri Chiang Mai's municipal government installed nine access points from which to collect the dataset. From May 2022 to December 2023, data was collected at one-minute intervals. This information was gathered in order to develop a real-time crowd monitoring application that would provide locals and tourists with information on crowd density at each location. This information can help individuals plan their travels and aid the municipal government in making informed decisions regarding the improvement of infrastructure and the enhancement of the quality of life in a smart city.
DOI: 10.6084/m9.figshare.27645021.v1
title: Annotated Capsule Endoscopy Datasets for Clean and Contaminated Regions Segmentation: CECleanliness, Kvasir, SEE-AI, and Corrupted Kvasir

description: This dataset accompanies the research article titled <i>"Multivariate Gaussian Bayes Classifier with Limited Data for Segmentation of Clean and Contaminated Regions in Small Bowel Capsule Endoscopy Images,"</i> submitted to PLOS ONE. The dataset includes four separate files:<b>CECleanliness Database:</b> A collection of original capsule endoscopy images and their corresponding binary ground truth masks, annotated for clean and contaminated regions segmentation in the small bowel.<b>Kvasir Capsule Endoscopy Dataset:</b> A subset of images from the Kvasir dataset, curated for capsule endoscopy studies, with binary masks for segmenting clean and contaminated regions.<b>SEE-AI Project Dataset:</b> Data from the SEE-AI project, containing capsule endoscopy images with expert-annotated ground truth masks, focusing on regions of contamination.<b>Corrupted Kvasir Dataset:</b> A dataset of images derived from the Kvasir capsule endoscopy collection, including corrupted or lower-quality images, alongside their annotated masks.Each image in these datasets is paired with a corresponding binary mask that labels clean and contaminated regions, providing essential data for training and evaluating segmentation models. These datasets were utilized to develop and validate the proposed Gaussian Bayes classifier method for clean-contaminated segmentation in capsule endoscopy images, particularly under limited data conditions.The dataset is intended to support further research in the field of capsule endoscopy, segmentation, and contamination detection, facilitating the development of automated tools for improving clinical outcomes in gastroenterology.
DOI: 10.6084/m9.figshare.28590905.v1
title: indices.RDA

description: This dataset contains FuDGE indices for shark species, detailing their functional distinctiveness score (FuD.med), FuDGE score (FuDGE.med), ED score (ED.med), EDGE score (EDGE.med), IUCN Red List category, and probability of extinction (p.ext)
DOI: 10.6084/m9.figshare.7413695.v1
title: 3D Point Cloud - Jatoba River, Xingu River Basin, Brazil

description: Dense 3D point cloud stored in .las format of rapids on the Jatoba river from the Xingu river basin in Brazil. The point cloud is generated at a ground sampling distance of 1.2 cm. A DJI Inspire 2 with an X5S camera were used to collect the photographs on August 2, 2017. The photographs were processed with Pix4D Mapper Pro through a Structure from Motion Multiview Stereo workflow as described in:<br>Kalacska, M.; Lucanus, O.; Sousa, L.; Vieira, T.; Arroyo-Mora, J.P. Freshwater Fish Habitat Complexity Mapping Using Above and Underwater Structure-From-Motion Photogrammetry. <em>Remote Sens.</em> 2018, <em>10</em>, 1912.https://www.mdpi.com/2072-4292/10/12/1912/htm<br><br>Interactive version of the point cloud can viewed online at:http://bit.ly/riojatoba
DOI: 10.15482/usda.adc/1254010
title: Data From: Weather, Snow, and Streamflow data from four western juniper-dominated Experimental Catchments in south western Idaho, USA.
DOI: 10.17632/rhrw6bmwpn
title: Data and code: 3D Scanner Technology Implementation to Numerical Modeling of GPR

description: This data and code are associated with the article "3D Scanner Technology Implementation to Numerical Modeling of GPR" by the same authors. The 3D scanner data and Matlab code used in the article are provided with other necessary files. The Readme file comprises detailed descriptions of the data files and formats. Please see the publication for more information about this data set.
DOI: 10.17632/y8jffxshht
title: Modeling the hotspot effect for vegetation canopies based on path length distribution

description: This is the Matlab code of the PATH_RT model, to run the code please refer to input_example.m.
DOI: 10.6084/m9.figshare.25734636.v1
title: Human hand motion data collected by commercial motion capture system and custom-made data glove

description: This dataset presents diverse <b>human hand motions </b>in various forms including:<b>Forward kinematic hand model </b>implemented in 3d computer graphics software tool (<i>/Joint angles/HandModel.blend</i>);<b>Bone lengths </b>of 13 subjects (9 males, 4 females);<b>Motion-captured rotations of the finger bones </b>in Euler angles;<b>Joint angles of the finger joints </b>that were calculated by post-processing the motion-captured rotations.Also, with the aim of <b>real-time tracking </b>of these hand motions using the <b>custom-made data glove</b>, we provide:<b>Sensor signals </b>measured by the data glove during the hand motions;<b>Regression model </b>that relates the <b>bone lengths </b>and the <b>sensor signals </b>measured at the zero pose for instantaneous estimation of the bone lengths of the wearer;<b>Filtering process </b>for further refinement of the <b>bone lengths </b>estimation using the subsequent sensor signals;<b>Filtering process </b>for estimation of the <b>joint angles </b>using the subsequent sensor signals.<b>Readme</b>The dataset is composed of three folders (<i>/Initial bone lengths</i>, <i>/Refined bone lengths</i>, and <i>/Joint angles</i>) and in each folder there exists Matlab or Python script that infers the collected motion-capture data and sensor signals in the <i>/Data</i> folder.How to use:Initial bone lengths: Run InitialBoneLengthsEstimation.m<br>Refined bone lengths: Run RefinedBoneLengthsEstimation.m<br>Joint angles<br>1. Run Calibration.py to output the linear model (already included in ./Data/230703_1440/model)<br>2. Open HandModel.blend, Open Text editor, and Press Run script (Alt+P)<br>3. Run JointAngleEstimation.py<br>Detailed results, experimental procedures, post-processing methods of the data, and the filtering algorithms are described in <b>Stretchable glove for accurate and robust hand pose reconstruction based on comprehensive motion data</b>, <i>Nature Communications</i>, 2024 (https://doi.org/10.1038/s41467-024-50101-w).
DOI: 10.6084/m9.figshare.28761971.v1
title: 1) Lipidomics raw data

description: Lipidomics raw data
DOI: 10.6084/m9.figshare.3121678.v1
title: Data-Reproductive Health

description: Under request of PLoS ONE journal and in order to contribute to the transparency and replicability of research, the authors of the study “A performance analysis of public expenditure on maternal health in Mexico”; made the data available. Any other use than exploring or replicating the results of the afore-mentioned paper_inc is not authorized and shall not be used without previous authorization of the researchers. If you are interested in analyzing this database for original research purpose please contact Leticia Avila-Burgos (PI of the original study- leticia.avila@insp.mx) or Gustavo Nigenda (corresponding author- gnigenda@outlook.com)
DOI: 10.6084/m9.figshare.c.3805534_d2.v1
title: Additional file 2: of Genome-wide analysis of codon usage bias in Bovine Coronavirus

description: Alignment of concatenation of nonstructural and structural ORF’s of Bovine coronaviruses. A fasta file originated using the MUSCLE program [20]. (FAS 378 kb)
DOI: 10.17632/kk3gkzdsbf
title: 3DPhyloFold - a structure-based phylogeny tool