cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28788092.v1
title: <b>Informed consent practices in research involving people living with schizophrenia and bipolar affective disorders at a national mental health referral hospital in Uganda: a qualitative study</b>

description: Obtaining informed consent from research participants is an ethical imperative. Disclosure of research information to potential participants to enable them to make a decision is usually done by providing information sheets. Concerns have been raised about the length and complexity of the participant information sheets. This study sought to explore the practices of key research team members in obtaining informed consent for research involving participants with schizophrenia and bipolar affective disorder at the national referral mental health hospital in Uganda. The study was conducted at Butabika National Referral Mental Hospital, Makerere University, Mbarara Universit,y and Gulu University. In-depth interviews were conducted with 21 participants who were selected through purposive and snowball sampling procedures. Audio recordings were transcribed, and transcripts were managed using Nvivo 14. Data were analyzed using inductive thematic analysis. Two themes emerged from the findings including key considerations during the Informed consent process and (2) enhancing participants' understanding of the research and medical terms. Participant autonomy was maintained through follow-up to see if they still had capacity in the course of participation. Researchers kept the participants interested in the consent discussion through building rapport and having their attention to listen to the study information, and dedicated more time to ensure an effective interaction to provide research information. Caregivers were involved in the consent process to support the participants by acting as either witnesses or surrogates. Participants' understanding of consent information was enhanced through reading the research information to them, using iterative learning, and consulting the research community and health professionals who interact with the participants in the course of care. It was important for participants to be aware of their participation in research throughout the study period, in line with the principle of autonomy. Participant attention during the consent discussion ensured effective disclosure of study information. Iterative learning and use of appropriate words improved their understanding of consent information.
DOI: 10.6084/m9.figshare.6860138.v2
title: B. pinnatum and E. repens hypervolume calculation

description: 1. Trait intraspecific variability determines community dynamics and species coexistence. In response to competition, plants can display intraspecific variability to enhance its competitive ability or stabilize its niche differences with their competitors. This response is multidimensional because it involves changes along different functional axes and inevitable trade-offs between traits. Here, we transposed the recent concept of the multidimensional trait space to the analysis of intraspecific plant response to competition. We specifically tested the following: (1) in the absence of competitors, the plant multidimensional trait space will be packed towards strategies promoting plant colonisation, and (2) with competitors, the plant multidimensional trait space will be directed towards competition with its size and shaping characteristics dependent on competitor species richness.<br><br>2. We studied trait intraspecific variability of two clonal species, Brachypodium pinnatum (L.) P. Beauv. and Elytrigia repens (L.) Gould, in response to competition. We analysed plant response in the absence of competitors and in competition. Competition treatments included intraspecific and interspecific experimental mixtures with increasing species richness. For each target species and each treatment, we built an hypervolume based on six traits involved in the three-dimensional competition (i.e. ramet and connection traits). We measured these hypervolumes for their size, similarity and the contribution of traits in their shaping.<br><br>3. In the absence of competitors and for both species, we demonstrated a multidimensional trait space packing towards a colonisation strategy. Under competition, the multidimensional trait spaces of the two target species were the widest at the extremes of the richness gradient, i.e., intraspecific and interspecific high richness competition treatments. High intraspecific variability either promoted niche differentiation for individuals of similar species or reflected the large range of competitive responses deployed when plants were faced with many different competitor identities. The multidimensional response process was based on fine adjustments of various traits depending on the surrounding neighbourhood composition and more specifically, on the competitor abundances and functional similarity with the target species.<br><br>4. This study emphasised the multidimensionality of species competitive response, and also underlined the so far neglected importance of competitor species richness for trait intraspecific variability and subsequently community assembly.<br><br>
DOI: 10.6084/m9.figshare.11481723.v1
title: Supplemental Table S3

description: Supplemental Table S3
DOI: 10.6084/m9.figshare.13140122.v1
title: CCLEexpression.Rdata

description: CCLE RNA-seq expression data downloaded from DepMap portal (Log2 (TPM+1)). Updated annotation of genes to latest HUGO gene symbol saved as R data object
DOI: 10.17632/zx8pfhdtnb
title: Mechanical faults in rotating machinery dataset (normal, unbalance, misalignment, looseness)

description: If you use this dataset, please cite: Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte. Fault Diagnosis using eXplainable AI: A transfer learning-based approach for rotating machinery exploiting augmented synthetic data. Expert Systems with Applications 232(4):120860. DOI: 10.1016/j.eswa.2023.120860

The dataset was developed aiming to address classic faults in rotating machines such as: unbalance, misalignment and mechanical looseness, in addition to the normal operating condition. The faults were introduced on a test bench, being: motor, frequency inverter, bearing house, two bearings, two pulleys, belt and rotor (disc).

20 tests were performed, 5 for each condition (normal, unbalance, misaligment and looseness). Each test consists of 4 sets of 420 signals collected continuously, each file consisting of 25,000 points with the sampling rate set at 25 kHz (420 signals per accelerometer). Resulting in the end of all tests, in a total of 8400 signals per accelerometer. The sequence of tests was randomly defined. Before starting any test, the bench was dismantled and returned to normal operating condition, to later introduce the fault. The experimental procedure allows variations to occur, making the tests closer to industrial reality. 

Each file has (4, 25000), where 4 represents the position of the accelerometers, and 25000 the number of points. The accelerometers were positioned in such a way that:
1 - Vertical side of the coupling (pulley)
2 - Horizontal side of the coupling (pulley)
3 - Vertical side opposite the coupling (disk)
4 - Horizontal side opposite the coupling (disk)

The sequence of tests and operating conditions are:
- Test 01: Normal Condition 
- Test 02: Misalignment 
- Test 03: Normal Condition 
- Test 04: Unbalance
- Test 05: Mechanical Looseness
- Test 06: Normal Condition 
- Test 07: Unbalance
- Test 08: Mechanical Looseness
- Test 09: Normal Condition 
- Test 10: Misalignment
- Test 11: Misalignment
- Test 12: Mechanical Looseness
- Test 13: Misalignment
- Test 14: Mechanical Looseness
- Test 15: Unbalance
- Test 16: Misalignment
- Test 17: Normal Condition 
- Test 18: Unbalance
- Test 19: Mechanical Looseness
- Test 20: Unbalance
DOI: 10.6084/m9.figshare.29104313.v1
title: letter

description: letter
DOI: 10.17632/b52vsb5x7w
title: Codes for Seepage Face metrics estimation and sensitivity analysis

description: These are the codes to generate and analyze the 2D models of seepage face on two different slopes.  The excel file contains the data set generated and used for global sensitivity analysis.
DOI: 10.17632/gtkht4mdj7
title: Eosinophils in traditionally non-eosinophil rich dermatoses; Supplemental Figure

description: Previous studies have captured the presence of tissue eosinophilia in previously considered eosinophil-poor dermatoses. This study investigated the literature regarding tissue eosinophilia in these conditions, including lichen sclerosus (LS), lichen planus (LP), dermatomyositis (DM), pityriasis rubra pilaris (PRP), morphea, lupus, and psoriasis.
DOI: 10.17632/rk2xywhx7w
title: Decoding multi-limb movements from two-photon calcium imaging of neuronal activity using deep learning

description: Dataset used in Park et al. [1].
[1] Park, S., Lipton, M., & Dadarlat, M. (2023). Decoding multi-limb movements from low temporal resolution calcium imaging using deep learning. bioRxiv, 2023-11. https://www.biorxiv.org/content/10.1101/2023.11.30.569459v1

Code used for Park et al. [1]
https://github.com/Dadarlat-Lab/decoding-2ptrace
https://github.com/seungbin201803/decoding-2ptrace


Neural decoding is the process of predicting behavior from brain signals, which is crucial for gaining insights into the functions of various brain regions and for advancing technology such as brain-computer interface to aid individuals suffering from neurological injuries and diseases. Considering that behavior results from interactions of a large population of neurons in circuits across various brain regions, recording and analyzing extensive neuronal populations is imperative for enhancing the field of neural decoding. Two-photon calcium imaging is a promising technique for recording the activity of thousands of neurons in a single-cell resolution.
Dadarlatlab at Purdue University organized the dataset of neural signals recorded by two-photon calcium imaging and running trajectories of mice. While a transgenic mouse (TRE-GCaMP6s x CAMKⅡ-tTa) was running on an air-lifted ball freely, the neural activity of neurons in the primary somatosensory cortex and the behavior of the mouse were recorded simultaneously with a two-photon microscope (Neurolabware) and two cameras on the left and right side of the mouse, respectively. Neural signals were extracted using Suite2p (https://www.suite2p.org/) and limb coordinates were extracted using DeepLabCut (https://www.mackenziemathislab.org/deeplabcut).

Descriptions for files
ffneu_z_sel.npy : Neuropil-corrected fluorescence signals (somatic fluorescence – 0.7 * neuropil fluorescence), z-scored.
spks_z_sel.npy: Deconvolved somatic fluorescence signals, z-scored.
neu_z_sel.npy: Neuropil fluorescence signals, z-scored.
neudeconv_z_sel.npy: Deconvolved neuropil signals, z-scored.
behave_coord_likeli_ori.npy: x and y coordinates of right front, right hind, left front, and left hind limbs.
behave_coord_likeli_norm.npy: Min-max scaled x and y coordinates of right front, right hind, left front, and left hind limbs.
Idx_coord_neural.npy: Indices of neural frames that match behavior video frames. Because the sampling rate of two-photon calcium imaging (7.8 Hz) is lower than the one of behavior video (30 Hz), there is a discrepancy between neural frames and behavior video frames. This array provides information about frame matching.
DOI: 10.17632/wf36dmbcgz
title: Geometric Brownian Motion Simulations for Stock Price

description: Geometric Brownian Motion (GBM) is a mathematical model used to describe the stochastic movements of continuous-time processes. It's a fundamental concept in finance, particularly in modelling stock prices and other assets' movements in financial markets
DOI: 10.17632/23n5xfjhyt
title: Reference Dataset for Text Mining Type 2 Diabetes Candidate Genes

description: The present disease-gene association data contains evidence or reference sentences which contain this disease-gene association information, which is further classified into 4 classes: Yes, No, Ambiguous and X each pertaining to Positive, Negative, Ambiguous and Not related disease-gene associations respectively. This data serves as reference data for the training text mining-based biological literature classifiers which can be used to predict classes of published literature, not just for Type 2 diabetes, but can also be expanded beyond to encompass a wide range of disease and their complications. The compilation of positively associated genes derived from these predictions can then be utilized for in-depth system-level analysis of T2D.
DOI: 10.6084/m9.figshare.21353826.v1
title: Data on the quality of audio streaming of Zoom, Audiomovers and web browsers

description: Fifteen files are available in this dataset. They correspond to the following measurement signals in monophonic format: Maximum Length Sequence (MLS), Logarithmic Sine Sweep (LSS), and Pink Noise (PN). <br> All measurement and recorded signals were created at 48 kHz sampling rate 24-bit depth lasting 2.7307 s.<br> <br> Measurement signals were streamed in real time over the internet using Audiomovers Listento VST3 format plugin v1.10.20210407. Signals from the following platforms were recorded using Reaper v6.45 Digital Audio Workstation: Chrome v99.0.4844.51 Safari v12.1.2 Listento Receiver VST3 format plugin v1.10.20210407 Zoom v5.8.1(1983) The measurement signals are: MLS-MeasurementSignal.csv LSS-MeasurementSignal.csv PN-MeasurementSignal.csv Each signal was recorded three times, corresponding to each column in the following files: MLS-CHROME.csv MLS-SAFARI.csv MLS-AUDIOMOVERS.csv MLS-ZOOM.csv <br> LSS-CHROME.csv LSS-SAFARI.csv LSS-AUDIOMOVERS.csv LSS-ZOOM.csv <br> PN-CHROME.csv PN-SAFARI.csv PN-AUDIOMOVERS.csv PN-ZOOM.csv <br> <br>
DOI: 10.6084/m9.figshare.23702505.v1
title: Cytotoxicity of dental cements associated with dental implants

description: This data set contains values of cytotoxicity of dental cements associated with dental implants. This data was further subjected to statistical analysis.
DOI: 10.6084/m9.figshare.24843606.v1
title: Code and data for: Spatial cognitive ability is associated with longevity in food-caching chickadees

description: Cognitive abilities are hypothesized to affect survival and lifespan in non-human animals. However, most tests of this hypothesis have relied on interspecific comparisons of indirect measures of cognitive ability, such as brain size. Here we present direct evidence that individual variation in cognitive abilities is associated with differences in lifespan in a wild food-caching bird. We measured the spatial cognitive abilities and tracked the lifespan of 227 mountain chickadees (<i>Poecile gambeli</i>) in their natural environment and found that individuals with better spatial learning and memory abilities involved in food caching lived longer. These results confirm that enhanced cognitive abilities can be associated with longer life in wild animals and that selection on cognitive abilities can lead to increased lifespan.
DOI: 10.6084/m9.figshare.26087875.v1
title: HiGTS_2010s3

description: HiGTS is a high temporal resolution global gridded dataset of human thermal stress metrics. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily Thermal Stress Duration (TSD) at 0.1° × 0.1° spatial resolution over the global land surface.HiGTS_2010s3 contains the data from July 1, 2010 to September 30, 2010.
DOI: 10.17632/6kntxfp449
title: Megalosaurid tooth from Uruguay

description: .glb file from 3D scanning of FC-DPV 2971, a large and complete theropod lateral tooth from the Late Jurassic of Uruguay, identified as Torvosaurus sp. (Theropoda, Megalosauridae).
DOI: 10.17632/xmg7rzhtpg
title: Gatekeeping General Practice, Specialists, and Health Sector Efficiency

description: Replication package
DOI: 10.6084/m9.figshare.11952642.v1
title: Additional file 5 of Different transcriptome profiles between human retinoblastoma Y79 cells and an etoposide-resistant subline reveal a chemoresistance mechanism

description: Additional file 5: Table S5. The enriched pathways of KEGG analysis.
DOI: 10.6084/m9.figshare.22989953.v1
title: Local Audience Survey Response Data.xlsx

description: Local Audience Survey Response Data
DOI: 10.6084/m9.figshare.25582767.v3
title: Sanger sequences of CO_O, CO_R, SVP_O, and SVP_R amplicons of<i> C. bursa-pastoris</i> mutant plants to check on-target and off-target results

description: Sanger sequencing results of the <i>C. bursa-pastoris</i> plants: wild type (WT), and CO_O, CO_R, SVP_O, and SVP_R mutants obtained using CRISPR/Cas9-mediated gene editing
DOI: 10.6084/m9.figshare.2063586.v2
title: Dendrocerus mexicali images and semantic statements

description: Figures and OWL files for Burks et al 2016. Dendrocerus mexicali (Hymenoptera, Ceraphronoidea, Megaspilidae): Novel antennal morphology, first description of female, and expansion of known range into the U.S.<br>
DOI: 10.6084/m9.figshare.25459114.v1
title: Grain-size parameters

description: Grain-size distributions of samples and plotted against distance
DOI: 10.6084/m9.figshare.28558070.v1
title: Data for "Robust supermoiré pattern in large-angle single-twist bilayers"

description: The data includes all the STS spectrocopies in the main text and the QPI mappings at different biases for the 31.1˚ tWSe2 sample.
DOI: 10.6084/m9.figshare.29152664.v1
title: <b>FAFC</b><b>T data and </b><b>questionnaire</b>

description: These data established GCC-centric WM dynamic functional connectivity as a circuit-level substrate for depression in both clinical and sub-clinical populations and revealed that oral OT treatment can modulate these altered connections. Our work therefore suggests a potential therapeutic use of OT for depressive disorders.
DOI: 10.6084/m9.figshare.5965846.v3
title: leaf image

description: Rice leaf images under nitrogen deficiency
DOI: 10.6084/m9.figshare.7732244.v1
title: Baseline and primary data (including code book)

description: This data contains the baseline and primary data points for the medical students who participated in the ORaClES study. The codebook describes the variables.
DOI: 10.17632/pkfrrs8857
title: Data for: Data for understanding the risk perception of COVID-19 from Vietnamese sample

description: This data includes the socioeconomics, media attention, and risk perception about COVID-19 in Vietnam through the survey which was conducted on February 1, 2020. In addition, our data might be a reference source for further in-depth surveys to understand the risk perception as well as the social media communication across countries.
DOI: 10.17632/wk6s7kh48m
title: Where Marine Protected Areas would best represent 30% of ocean biodiversity

description: This is the final result data of the paper 'Where Marine Protected Areas would best represent 30% of ocean biodiversity'. The side length of each cell is 100 km along lat and lon. In the tif file the priority value in each cell from low to high is from '0' to '1'. The cells in the first row & column and last row & column are no data cells (having the value '-1' as the same as the land cells) due to the necessity of Zonation algorithm. The top 30% prioritized cells were selected as the 'the Prioritized Area' in the paper.
DOI: 10.4121/uuid:33f2a166-de13-4505-b359-2b202c491fd8
title: Data mannually-labelled accompanying the research on segmentation of book-spine images

description: This dataset contains 661 images and their labeled data. Each json file encapsulates a book spine image and its polygon vertices labeled manually. Using the file getImgFromJson.m we can read the image information from a json file.
DOI: 10.6084/m9.figshare.24634874.v1
title: Data from A model of time-varying music engagement

description: Containing the ratings given to individual excerpts for the two music conditions by the three participant groups
DOI: 10.6084/m9.figshare.28882814.v2
title: 112_2023_6_7-V1.xlsx

description: the raw modeling data sets about clinical pharmacy
DOI: 10.6084/m9.figshare.11762163.v2
title: Instances for the k-color shortest path problem

description: The dataset contains the instances of the k-Color Shortest Path Problem used in the paper "The k-Color Shortest Path Problem".<br>
DOI: 10.6084/m9.figshare.13337828.v1
title: Change in Glasgow Benefit Inventory (GBI) of enrolled patients

description: <b>Supplementary table 1.</b> Change in Glasgow Benefit Inventory (GBI) of enrolled patients on a 5 point Likert scale: 1 = Much worse, 2 = A little or somewhat worse, 3 = No change, 4 = A little or somewhat better, 5 = Much better.
DOI: 10.6084/m9.figshare.15384888.v1
title: APC phenotyping and cell count results

description: Results of the Visiopharm Multiplex Phenotyping Module + Cell Count on our multiplexed immunofluorescence stained lung cores.
DOI: 10.6084/m9.figshare.21101965.v1
title: Das_GELS_Data

description: The data shows the sampled plot based spectral variables extracted from satellite image and their regression analysis with the plot based AGB of the study area.
DOI: 10.6084/m9.figshare.21579168.v1
title: Estimation equation (model)

description: Raw data who participated in a two-day disaster simulation training.
DOI: 10.6084/m9.figshare.21641780.v2
title: Supplmentary Materials of ISJ Paper "RESILIENCE-ORIENTED OPERATION OF IEGSS USING HCNG"

description: Data_of_Two_Case_Studies: Data of the test systems is used for case studies of paper entitled "Resilience-Oriented Operation of Integrated Electricity-Natural Gas Systems Using Hydrogen Enriched Compressed Natural Gas"Supplmentary_Information: Supplmentary Information.
DOI: 10.6084/m9.figshare.24192495.v1
title: Post-processed excel-files with gait kinematics and EMG of 50 adults with stroke

description: A post-processed Excel-file (xlsx-file) that contains stride-normalized data. This data includes saggital plane ankle angle, knee angle, hip angle and pelvis angles, and EMG of the Gastrocnemius (GAS), Rectus femoris (RF), vastus lateralis (VL), biceps femoris (BF), semitendinosis (ST) and erector spinae (ERS). This data is similar to the MAT-files.
DOI: 10.6084/m9.figshare.25399162.v1
title: Datasets related to publication Molenaar et al. (2024) in Geochemistry, Geophysics, Geosystems

description: Supplementary data related to the publication Molenaar et al. (2024) in Geochemistry, Geophysics, Geosystems, titled "Shaken and Stirred: A Comparative Study of Earthquake-Triggered Soft-Sediment Deformation Structures in Lake Sediments". This supporting information (Text-file) provides additional information on the methods for sediment core analysis and ground motion calculations (Text S1) and more details on the bathymetry and age-depth models per lake (Text S2). For each lake, we provide a map with core sites and the lake location relative to epicenters of relevant earthquakes, figures showing age-depth models used for analysis and core correlation with SSDS as well as representative smear slide images. Datasets S1 and S2 are included as csv files and provide calculated shaking strengths associated to each of the seven earthquake-related SSDS along with basic information and all details for positive and negative evidence used in the figures presented in the main manuscript, respectively. Movie S1 presents a rotating 3D plot corresponding to subfigure 3b in the manuscript.
DOI: 10.6084/m9.figshare.28615724.v1
title: GANE new economics expert survey data

description: Data from expert survey with advisory board and leadership team members of the Global Assessment for a New Economics (GANE) project. Original survey December 2020 - January 2021 - additional sources added up to June 2024.Results published in:Kenter et al. (2025), Ten principles for transforming economics in
a time of global crises, Nature Sustainability. https://doi.org/10.1038/s41893-025-01562-4.