cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3hvcyz66vd
title: MATLAB code for ATSA

description: MATLAB code for ATSA (Augmented Tunicate Swarm Algorithm)
DOI: 10.6084/m9.figshare.28136309.v1
title: Datasets for the project of 'Translation and cultural adaption of MacLeod Clark Professional Identity Scale among Chinese therapy students'

description: <b>Background:</b> Fostering a strong professional identity (PI) enhances career fulfillment. In China, therapy education is undergoing development, integrating both Western and traditional health concepts, causing inconsistent PI among therapy students. To date, there are no tools available to measure and monitor PI of Chinese therapy students. This study aimed to translate and validate the 9-item MacLeod Clark Professional Identity Scale (MCPIS-9) for this purpose.<b>Design:</b> This study involved translation and cultural adaptation of the MCPIS-9, followed by a thorough assessment of its model fit and psychometric properties using data collected via an online questionnaire.<b>Methods:</b> A forward- and backward- translation process was conducted. Content validity was evaluated using item-level content validity index (I-CVI) and scale level content validity index average method (S-CVI/Ave). Therapy students across all grades at undergraduate and postgraduate levels in China were eligible. Exploratory factor analysis examined the underlying factor structure. Model fit was evaluated through confirmatory factor analysis (CFA) using the Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Standardized Root Mean Square Residual (SRMR) and Root Mean Square of Error of Approximation (RMSEA). Convergent validity was measured through Pearson’s correlations coefficient (r) with the Professional Identity Scale for Health Students and Professionals (PISHSP). Internal consistency was examined using Cronbach’s Alpha (Cα) and McDonald’s Omega (ω).<b>Results:</b> Content validity was excellent (I-CVI=0.86-1.0, S-CVI/Ave=0.98). A total of 1054 students participated. Exploratory factor analysis indicated a two-factor structure with acceptable model fit (CFI=0.978, RMSEA=0.063). Reliability was strong (Cα=0.835; ω=0.817). Convergent validity demonstrated a strong correlation (r=0.75) with the PISHSP.<b>Conclusions:</b> The Chinese MCPIS-9 is a reliable and valid tool for assessing PI among therapy students. Future developments of the translated MCPIS-9 could improve the overall scale quality by modification of item 4. This may require further exploration of therapy students’ perceptions of PI in China.
DOI: 10.15468/dl.zvpnms
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia innesi (Fowler, 1934)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((36.2225 24.1647,35.9648 24.4806,35.9648 19.8496,37.7519 19.8496,37.7005 20.2556,37.7935 21.209,37.3891 21.7756,37.3588 22.2459,36.8499 22.7968,36.6611 23.2461,36.1736 23.4033,36.31 23.7463,36.2225 24.1647))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013439-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.23507073.v2
title: Electric power load data: High resolution electric power load data of an industrial park with multiple types of buildings in China

description: The dataset, electric power load data of four buildings in an industrial park in China from 2017 to 2019 for temporal resolutions of 5 min, 30 min, and 1 hour. The Zip file {Year} is an annual directory that includes electric power load data for each building at different resolutions. The folder for each resolution includes the electric power load dataset for four types of buildings, and the name of the folder is Year_resolution_Building. For example, the folder named “2018_1hour_Office” contains the electric power load data for the office building in 1-hour resolution for the whole year of 2018, in 365 xlsx files. Each xlsx file consists of two columns: “timestamp” and “power”.
DOI: 10.6084/m9.figshare.28443374.v3
title: 3D-PanoPACT_Data_Code

description: Supporting source data and codes for Wang et al. "Cross-regional real-time visualization of systemic physiology and dynamics with 3D panoramic photoacoustic computed tomography (3D-PanoPACT)"
DOI: 10.6084/m9.figshare.4816663.v1
title: Discover DH: Data Edition

description: These are the presentations from our training series on humanities data. <br>
DOI: 10.17632/wb7v54r2p4
title: Supplementary figure S1. Metabolomics in calves

description: Summary of mean water intake (L/d) of dairy calves (n = 86) fed a restricted (red) or an elevated (blue) level of nutrient intake.
DOI: 10.6084/m9.figshare.14215889.v1
title: Psychological behavior data and ERP data

description: Recognition features of facial and body expressions: evidence from ERP. There were 27 effective behavioral subjects in this study and 28 effective subjects in ERP experiment.
DOI: 10.6084/m9.figshare.8020247.v1
title: Koutsidi_Moukas_Tzanatos_23_traits_by_235_species.xls

description: ***<br>CAUTION: There have been minor corrections, additions (e.g. ranges of range type data) and updates to this dataset. Please find and download the correct and most recently updated file here: https://figshare.com/articles/Koutsidi_Moukas_Tzanatos_23_biological_traits_of_235_species/11347406 <br>***This file contains traits data for 235 Mediterranean nekton species. There are data on 23 traits; the data are presented in a continuous or a categorical form (in the latter case, for each trait 2-6 trait categories/modalities exist and each species can only belong to one modality per trait). The Excel file has 6 worksheets: (1) <b>Continuous_traits_205_sp</b>: This worksheet contains information on the continuous traits (longevity, age-at-maturity, fecundity, maximum length, trophic level, optimal depth, optimal temperature). For traits of the range type (e.g. optimal depth) the mean value are provided. Only the species with complete information (205 species) on continuous traits are presented. (2) <b>Categorical_23_traits_205_sp</b>: This worksheet is a presence/absence (1/0) matrix of 205 species by 81 traits categories (or modalities). Only the species with complete information (205 species) on all 23 traits are presented. (3) <b>Continuous_traits_235_sp</b>: This worksheet contains information on the continuous traits (longevity, age-at-maturity, fecundity, maximum length, trophic level, optimal depth, optimal temperature). For traits of the range type (e.g. optimal depth) the mean value are provided. All species, even with incomplete information on all continuous traits are presented. (4) <b>Categorical_23_traits_235_sp</b>: This worksheet is a presence/absence (1/0) matrix of 235 species by 81 traits categories (or modalities). All species, even with incomplete information on all 23 traits are presented. (5) <b>reference_codes_per_trait</b>: This worksheet is a matrix of the 235 species by 21 traits with one or more numbers representing a reference from which the information to fill in the trait information (shown in the previous worksheets) was taken. (6) <b>reference_list</b>: This worksheet is a list of reference numbers and the corresponding full references.
DOI: 10.6084/m9.figshare.21406767.v1
title: Adult patient and carer experiences of planning for hospital discharge after a major trauma event: a qualitative systematic review

description: To identify, evaluate and synthesize qualitative literature on adult patients and carer experiences of planning for discharge from an acute setting after a major trauma event. The JBI approach to meta-aggregation was followed. Qualitative studies exploring patient and carer discharge planning experiences of major trauma were included in the systematic review. A comprehensive search was conducted in five databases, supplemented by grey literature. Eligible studies were appraised for methodological quality by two reviewers and data extracted using standardized JBI tools. Four synthesized findings emerged using 69 findings from sixteen papers. (i) Patients and carers feel generally unprepared to manage at home after discharge, (ii) early identification of patients’ post discharge needs allows for appropriate referrals and supports to be organised prior to discharge, (iii) patients and carers value participation in the discharge planning process to facilitate a considered, organized and timely discharge from hospital (iv) the timely presentation, delivery, language used, format and relevancy of information impacts how patients and carers manage their discharge. This meta-synthesis demonstrates that patients and carers predominantly have poor experiences of discharge planning after major trauma. Adoption of patient centered principles may improve patient and carer experiences of the discharge planning process. IMPLICATIONS FOR REHABILITATIONPatients and their carers benefit from a client-centred approach where their needs are recognised and their collaboration encouraged in important decisions, and if they are adequately prepared to reintegrate into their community.Patients can benefit from having a trauma pathway healthcare professional to provide support and advocacy services throughout their hospital admission and after discharge.Discharge planning that is organised, prepared and collaborative leads to a more positive patient experience.Discharge information should be individualised and presented in an easily accessible format for patients and carers. Patients and their carers benefit from a client-centred approach where their needs are recognised and their collaboration encouraged in important decisions, and if they are adequately prepared to reintegrate into their community. Patients can benefit from having a trauma pathway healthcare professional to provide support and advocacy services throughout their hospital admission and after discharge. Discharge planning that is organised, prepared and collaborative leads to a more positive patient experience. Discharge information should be individualised and presented in an easily accessible format for patients and carers.
DOI: 10.6084/m9.figshare.25824412.v1
title: Influences of plant functional traits on soil organic carbon stocks: the roles of carbon input quality and diversity

description: Soil organic carbon (SOC) predominately originates from the decomposition of plant aboveground and belowground litter, which consists of diverse traits mixed in varying proportions. While numerous studies of litter decomposition have been conducted, the majority have primarily focused on litter mass loss rates. Our comprehension of how the quality and diversity of plant C inputs could impact SOC formation remains significantly constrained, largely due to the difficulty in their direct measurement at the ecosystem scale. Here we compiled a global dataset including community-weighted means and variances of plant aboveground structural and chemical traits, which serve as effective indicators of the quality and diversity of C inputs, respectively. We found that smaller community-weighted means of specific leaf area, signifying a lower quality of plant C inputs, could actually enhance SOC accumulation. This finding challenges the common notion that the high microbial carbon use efficiency of labile C inputs would ultimately benefit SOC sequestration. Our findings also showed that greater community-weighted variances of specific leaf area, reflecting more diverse plant C inputs, were positively associated with SOC stocks, likely due to the fact that higher C diversity can increase SOC persistence by increasing metabolism costs and diversifying organo-mineral bonds. On the contrary, community-weighted variances of leaf nitrogen content were negatively correlated with SOC stocks. This indicates that litter mixtures with diverse nutrient contents are prone to decomposition, possibly due to the complementary effects of nutrients. Notably, the contributions of C input quality and diversity to SOC stocks were more pronounced in colder or drier ecosystems, where the recalcitrance and diversity of C inputs exert a more substantial influence in limiting microbial decay of SOC. Our results point to the climate-dependent, yet important effects of plant C input quality and diversity on SOC stocks across the globe.
DOI: 10.11583/dtu.21511842.v1
title: Unlabelled training datasets of AIS Trajectories from Danish Waters for Abnormal Behavior Detection

description: This item is part of the collection "AIS Trajectories from Danish Waters for Abnormal Behavior Detection" <br> DOI: https://doi.org/10.11583/DTU.c.6287841 <br> Using Deep Learning for detection of maritime abnormal behaviour in spatio temporal trajectories is a relatively new and promising application. Open access to the Automatic Identification System (AIS) has made large amounts of maritime trajectories publically avaliable. However, these trajectories are unannotated when it comes to the detection of abnormal behaviour. <br> The lack of annotated datasets for abnormality detection on maritime trajectories makes it difficult to evaluate and compare suggested models quantitavely. With this dataset, we attempt to provide a way for researchers to evaluate and compare performance. <br> We have manually labelled trajectories which showcase abnormal behaviour following an collision accident. The annotated dataset consists of 521 data points with 25 abnormal trajectories. The abnormal trajectories cover amoung other; Colliding vessels, vessels engaged in Search-and-Rescue activities, law enforcement, and commercial maritime traffic forced to deviate from the normal course <br> These datasets consists of unlabelled trajectories for the purpose of training unsupervised models. For labelled datasets for evaluation please refer to the collection. Link in Related publications. <br> The data is saved using the pickle format for Python Each dataset is split into 2 files with naming convention: datasetInfo_XXX data_XXX Files named "data_XXX" contains the extracted trajectories serialized sequentially one at a time and must be read as such. Please refer to provided utility functions for examples. Files named "datasetInfo" contains Metadata related to the dataset and indecies at which trajectories begin in "data_XXX" files. <br> The data are sequences of maritime trajectories defined by their; timestamp, latitude/longitude position, speed, course, and unique ship identifer MMSI. In addition, the dataset contains metadata related to creation parameters. The dataset has been limited to a specific time period, ship types, moving AIS navigational statuses, and filtered within an region of interest (ROI). Trajectories were split if exceeding an upper limit and short trajectories were discarded. All values are given as metadata in the dataset and used in the naming syntax. <br> Naming syntax: data_AIS_Custom_STARTDATE_ENDDATE_SHIPTYPES_MINLENGTH_MAXLENGTH_RESAMPLEPERIOD.pkl <br> See datasheet for more detailed information and we refer to provided utility functions for examples on how to read and plot the data.<br>
DOI: 10.6084/m9.figshare.1582730.v1
title: Nonparametric Conditional Density Estimation in a High-Dimensional Regression Setting

description: In some applications (e.g., in cosmology and economics), the regression E[Z|x] is not adequate to represent the association between a predictor <b>x</b> and a response <i>Z</i> because of multi-modality and asymmetry of <i>f</i>(<i>z</i>|<b>x</b>); using the full density instead of a single-point estimate can then lead to less bias in subsequent analysis. As of now, there are no effective ways of estimating <i>f</i>(<i>z</i>|<b>x</b>) when <b>x</b> represents high-dimensional, complex data. In this article, we propose a new nonparametric estimator of <i>f</i>(<i>z</i>|<b>x</b>) that adapts to sparse (low-dimensional) structure in <b>x</b>. By directly expanding <i>f</i>(<i>z</i>|<b>x</b>) in the eigenfunctions of a kernel-based operator, we avoid tensor products in high dimensions as well as ratios of estimated densities. Our basis functions are orthogonal with respect to the underlying data distribution, allowing fast implementation and tuning of parameters. We derive rates of convergence and show that the method adapts to the intrinsic dimension of the data. We also demonstrate the effectiveness of the series method on images, spectra, and an application to photometric redshift estimation of galaxies. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.17169362.v1
title: Alcohol Sales Data

description: Daily Alcohol Sales Time series
DOI: 10.6084/m9.figshare.13317932.v1
title: Hologenome analysis reveals dual symbiosis in the deep-sea hydrothermal vent snail Gigantopelta aegis

description: The hologenome analysis reveals dual symbiotic relationship in the deep-sea hydrothermal vent snail Gigantopelta aegis.
DOI: 10.6084/m9.figshare.26089329.v1
title: HiGTS_2019s2

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_2019s2 contains the data from April 1, 2019 to June 30, 2019.
DOI: 10.17632/m39ymdv48s
title: WomenSports

description: This dataset presents a new dataset representing women’s sports, called WomenSports, specifically for machine learning applications and sports classification using small-scale training data.
DOI: 10.6084/m9.figshare.10048520.v1
title: World Settlement Footprint (WSF) 2015 - Percent Settlement Area - 500m

description: The dataset is a 500m resampled version of the World Settlement Footprint (WSF) 2015 layer. Specifically, each pixel is associated with the corresponding percent area on the ground covered by settlements. The product is distributed as single GeoTIFF file (EPSG4326 projection, deflate compression) embedding overviews for the levels 2, 4, 8, 16, 32, 64, 128 and 256.
DOI: 10.6084/m9.figshare.19161647.v2
title: BMock12

description: Assembly, binning, binning refining and gold standard for BMock12 dataset
DOI: 10.6084/m9.figshare.28462820.v1
title: Mexico's High Resolution Climate Database (MexHiResClim): daily maximum temperature for Mexico

description: Daily maximum temperature for Mexico at a resolution of 20 arc-seconds for the 1951-2020 period (georeferenced and provided in geographic coordinates). The provided data were obtained by using Kriging with External Drift on a local neighborhood (KEDl) through gstat within R and GRASS along a relational database developed in PostgreSQL.
DOI: 10.17028/rd.lboro.22093589.v1
title: Underlying data: Influence of voltage profile and fitting technique on the accuracy of lithium-ion battery degradation identification through an Open-Circuit-Voltage Model

description: Underlying experimental and modelling data from the journal paper: Influence of voltage profile and fitting technique on the accuracy of lithium-ion battery degradation identification through an Open-Circuit-Voltage Model. <strong>Article abstract:</strong> Accurate estimation of degradation in lithium-ion batteries is essential in predicting remaining useful life and understanding how to better operate batteries for extended lifetimes. A common way of estimating degradation modes in lithium-ion batteries is to analyse the cells voltage profile through techniques such as incremental capacity analysis, differential voltage analysis or direct fitting of half-cell potential profiles. To extract degradation modes such as loss of lithium inventory or loss of active material requires accurate knowledge of the individual electrode half-cell potential profiles, which is often not available for commercial cells without performing a cell teardown. This work investigates how the choice of half-cell potential profile influences the accuracy of a parametric voltage profile model to estimate electrode capacity and simulated degradation modes through a combination of half-cell and three electrode testing on a LiNi0.5Mn0.3Co0.2O2/Graphite cell. Results demonstrate that whilst half-cell potential data from the same electrode material batch gives the most accurate voltage profile fit, other data sources for the same electrode chemistry can also accurately estimate individual electrode capacity in a fresh cell. However, when degradation modes are induced into the voltage profile, only the model using half-cell profiles obtained from similar sources to the full-cell configurations are able to accurately distinguish between loss of lithium inventory and loss of active material of the positive electrode. It is also shown that the diagnostic accuracy of the parametric voltage profile model can be improved for all data sources through combined fitting of the voltage, incremental capacity and differential voltage analysis compared to voltage profile fitting alone.
DOI: 10.6084/m9.figshare.25609842.v1
title: Dataset A. Tripathi et al., Nanoscale optical nonreciprocity with nonlinear metasurfaces, Nat. Commun. 2024

description: Dataset for publication A. Tripathi et al., "Nanoscale optical nonreciprocity with nonlinear metasurfaces", Nature Communications 2024.File names in the dataset indicate relevant figures in the manuscript
DOI: 10.6084/m9.figshare.26367193.v1
title: Measuring the dynamic balance of integration and segregation underlying consciousness, anesthesia, and sleep

description: This raw data contains five datasets with various propofol dosage or sleep stages.
All dataset consists of two MAT files with or without GSR processing.
Note that Dataset-4 consists of two folders.

Dataset-1 (Mean ESC = 2.4 ug/mL)
- Array of 19 subjects x 8370 TRs x 450 ROIs

Dataset-2 (Mean ESC = 2.7 ug/mL)
- Array of 26 subjects x 5576 TRs x 450 ROIs

Dataset-3 (Mean ESC = 1.0 and 1.9 ug/mL)
- Cell of 14 subjects x 4 states
- Column 1: Baseline
- Column 2: Light sedation (ESC = 1.0 ug/mL)
- Column 3: Deep sedation (ESC = 2.0 ug/mL)
- Column 4: Recovery
- Each cell entry consists of 448 TRs x 450 ROIs

Dataset-4 (Light and surgical) (Mean ESC = 1.3 and 4.0 ug/mL)
- Cell of 17 subjects x 3 states
- Column 1: Baseline
- Column 2: Light sedation (ESC = 1.3 ug/mL)
- Column 3: Surgical anesthesia (ESC = 4.0 ug/mL)
- Each cell entry consists of 240 TRs x 450 ROIs

Dataset-4 (Surgical) (Mean ESC = 4.0 ug/mL)
- Cell of 6 subjects x 2 states
- Column 1: Baseline
- Column 2: Surgical anesthesia (ESC = 4.0 ug/mL)
- Each cell entry consists of 240 TRs x 450 ROIs

Dataset-5 (Sleep)
- Cell of 33 subjects x 4 states
- Column 1: N1 sleep
- Column 2: N2 sleep
- Column 3: N3 sleep
- Column 4: Awake state
- Each cell entry consists of # TRs x 450 ROIs
DOI: 10.6084/m9.figshare.8285612.v1
title: The Nasal Methylome as a Biomarker of Asthma and Airway Inflammation in Children

description: DNA methylation of nasal cells from the anterior nares of children (mean-age 12.9y) measured with the Infinium MethylationEPIC BeadChip. Summary results from adjusted Epigenome-Wide Association analyses (EWAS) of current asthma, allergen sensitization (total IgE and environment specific IgE), allergic rhinitis, fractional exhaled nitric oxide (FeNO) and lung function measures.
DOI: 10.6084/m9.figshare.22259407.v2
title: Supplemental Table 5: Human Orthologs of Mild CH Goat DEG

description: Goat genes were converted to human orthologs via g:Orth function within gProfiler2 R package (Raudvere<strong> </strong>et al., 2019)
DOI: 10.6084/m9.figshare.4265129.v2
title: QTLMASXVI; Scots pine and Loblolly pine

description: QTLMASXVI refers to the pedgree and EBVs of simulated data related to milk production case study, for genetic algorithm.<br>Scots pine refers to the pedigree and EBV for Scots pine case study, for genetic algorithm.<br>Loblolly pine refers to the pedigree and EBVs for loblolly pine case study for genetic algorithm.<br><br>