cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p2ywt67xmr
title: Ponies response to human facial expressions

description: This study investigated how ponies (n=20) distinguish facial expressions presented by live human actors. Trained actors using the Facial Action Coding System (FACS) displayed four facial expressions (anger, sadness, joy and neutral) individually to twenty ponies. Heart rate and behaviors of the ponies such as first eye look (gaze), eye look duration (right and left side bias) and latency to approach were observed. A generalized linear mixed model (GLIMMIX) using Sidak’s multiple comparisons of least squared means determined that when exposed to anger expressions ponies looked more often with their left eye first and when exposed to joy, looked more often with their right eye first (p = 0.011). Ponies spent more time looking at angry expressions (p = 0.0003) in comparison to other expressions. There was no variation in heart rate across expressions (p > 0.89). Regardless of human facial expression, ponies looked longer (p = 0.0035), took longer to approach (p = 0.0297) and displayed more oral behaviours (p < 0.0001) with one actor than the other. Ponies with more experience as a lesson mount had lower heart rates (p < 0.0001) carried their head lower (p < 0.0001), kept their left ear on the actor (p < 0.03) and exhibited more oral behaviours (p < 0.0001) than ponies with less experience. This study demonstrates that ponies are able to distinguish facial expressions presented by a live human.
DOI: 10.17632/pcxm4wk57j
title: Supplemental Table 1

description: Ambiguous melanocytic lesions: a retrospective cohort study of incidence and outcome of MELTUMP and SAMPUS in the Netherlands
Supplemental Table 1: Protocol for data collection and categorization.
DOI: 10.6084/m9.figshare.8159852.v1
title: Antarctic Ice Shelf Thickness Change and Bottom Melt Rates from NASA/CECS Antarctic Ice Mapping and NASA Operation IceBridge

description: HDF5 files with data from NASA/CECS Antarctic ice mapping and NASA Operation IceBridge campaigns.Contains elevation and co-registered triangulated data processed in a Lagrangian reference frame along with geophysical corrections and derived values.<br><b>HDF5 data variables:</b>DH_Dt: Ice thickness change rate [m/yr]DH_Dt_sigma: Ice thickness change rate uncertainty [m/yr]bmr: Bottom melt rate calculated using mass conservation [m/yr]bmr_sigma: Bottom melt rate uncertainty [m/yr]h: Uncorrected surface elevation [m]h_sigma: Surface elevation error [m]dh_dx: Surface slope in easting direction [unitless]dh_dy: Surface slope in northing direction [unitless]longitude: Longitude of measurement [degrees east]latitude: Latitude of measurement [degrees north]delta_time: Acquisition time measured as seconds elapsed since January 1, 2000 12:00:00 UTC (J2000 seconds)tide_ocean: Ocean tide elevation from CATS2008 harmonic constants at the measurement position at the acquisition time [m]tide_load: Load tide elevation from CATS2008 harmonic constants at the measurement position at the acquisition time [m]tide_pole: Solid earth pole tide displacements at the measurement position at the acquisition time [m]tide_oc_pole: Ocean pole tide radial displacements at the measurement position at the acquisition time [m]dac: Dynamic atmospheric correction which includes inverse barometer (IB) effects located at the measurement position at the acquisition time [m]adt: Absolute dynamic topography (calculated by adding the mean dynamic topography to the sea level anomalies) [m]mdt: Mean dynamic topography (sea surface height above geoid) [m]sla: Sea level anomaly located at the measurement position at the acquisition time [m]geoid_h: Geoid height computed from GGM05 gravity model [m]ITRF: Offset to translate to 2014 reference frame [m]IQR: Mask calculated using a interquartile range algorithm (Pritchard et al., 2009)RDE: Mask calculated using a robust dispersion estimator algorithm (Smith et al., 2017)track: ATM icessn track number (0=nadir)<br><br><b>Disclaimer:</b>This data provided here is not sponsored or maintained by the Universities Space Research Association (USRA) or NASA. It is provided here under a Creative Commons 4.0 license but with no guarantees whatsoever.
DOI: 10.6084/m9.figshare.16764685.v1
title: A REBT Table 1 2021.docx

description: Table 1: Pretest and Post-test mean work-irrational beliefs scores of Electrical/Electronic Technologists and Instructors exposed to Rational Emotive Behaviour Therapy (REBT) and those not exposed to the therapyTable 2: Analysis of Covariance (ANCOVA) of the difference between the mean work-irrational beliefs scores of Electrical/Electronic Technologists and Instructors exposed to Rational Emotive Behaviour Therapy (REBT) and those not exposed to the therapy<br><br>Table 3: Pretest and Post-test mean work-irrational beliefs scores of Males and Female Electrical/Electronic Technologists and Instructors<b></b><b></b>
DOI: 10.17632/ygpdzx52g2
title: Stroke Rehabilitation Exercise Data Utilizing 3D Depth Sensors and IMU Sensors

description: There is a need for datasets for physical rehabilitation exercise for stroke. The current most prominent datasets available are the University of Idaho - Physical Rehabilitation Movements Data Set (UI-PRMD), which consists of only skeleton data and KInematic Assessment of MOvement and Clinical Scores for Remote Monitoring of Physical Rehabilitation (KIMORE) containing RGB depth video, along with skeleton joint position and orientations. But, as for our knowledge, so far only the KIMORE dataset has defined features and physician’s scoring. In order to add more datasets besides the KIMORE dataset we have produced a setup that uses two methods: multi-scale graph convolution disentanglement and a unified spatial-temporal graph aggregation with a convolution operator named G3D that provides a scoring that is ethically approved by Independent University Bangladesh (IUB)’s institutional review board (IRB).

This dataset’s main directory consists of two directories and two .csv files - 
IMU_Data Directory: Contains 128 files of 128 participants in .csv format. Example: P1.csv, P2.csv…P128.csv.

KINECT_Skeleton_Data Direcory: Contains 631 files of 128 participants in .skeleton format. Example: P1_Female_21_Exercise Type 1.skeleton…P128_Male_24_Exercise Type 5.skeleton.

Participants_Information.csv: Contains participants’ ID, age, and gender.

Participants_with_Performaces_Scores.csv: Contains participants’ control factor (CF) and primary outcome (PO) scores with exercise types.



The IMU_Data directory contains data from 2 IMU sensors. There are 128 .csv files consisting of the X, Y, Z axis data of Accelerometer, Gyroscope and Magnetometer present in the IMU sensors. Each individual .csv file consists of 3-5 sheets for the 5 defined exercises for physical rehabilitation. The KINECT_Skeleton_Data direcory contains 631 skeleton files generated using the RGB-D sensors present in the Microsoft Kinect v2. The skeleton files are generated for 3-5 exercises for the 128 participants. Participants_Information.csv file also contains the age, gender, participant ID of 128 individuals. The Participants_with_Performaces_Scores.csv file contains the scores for each exercise of each individual participant. The scores are classified into two categories, Primary Outcome (PO), and Control Factor (CF). POs and CFs signify the movement of upper limbs and physical constraints during the exercises. 

The 5 exercises:
Exercise Type 1: Lifting of the arms features
Exercise Type 2: The lateral tilt of the trunk with the arms in extension
Exercise Type 3: Trunk rotation
Exercise Type 4: Pelvis rotations on the transverse plane
Exercise Type 5: Squatting
DOI: 10.6084/m9.figshare.23911314.v1
title: Exploring water-borne corticosterone collection as a non-invasive tool in amphibian conservation physiology: benefits, limitations, and future perspectives

description: Global change exposes wildlife to a variety of environmental stressors and is affecting biodiversity worldwide, with amphibian population declines being at the forefront of the global biodiversity crisis. The use of non-invasive methods to determine the physiological state in response to environmental stressors is therefore an important advance in the field of conservation physiology. The glucocorticoid hormone corticosterone (CORT) is one useful biomarker to assess physiological stress in amphibians, and sampling water-borne (WB) CORT is a novel, non-invasive collection technique. Here, we tested whether WB CORT can serve as a valid proxy of organismal levels of CORT in larvae of the common frog (<i>Rana temporaria</i>). We evaluated the association between tissue and WB CORT levels sampled from the same individuals across ontogenetic stages, ranging from newly-hatched larvae to froglets at ten days after metamorphosis. We also investigated how both tissue and WB CORT change throughout ontogeny. We found that WB CORT is a valid method in pro-metamorphic larvae as values for both methods were highly correlated. In contrast, there was no correlation between tissue and WB CORT in newly-hatched, pre-metamorphic larvae, metamorphs, or post-metamorphic froglets probably due to ontogenetic changes in respiratory and skin morphology and physiology affecting the transdermal CORT release. Both collection methods consistently revealed a non-linear pattern of ontogenetic change in CORT with a peak at metamorphic climax. Thus, our results indicate that WB CORT sampling is a promising, non-invasive conservation tool for studies on late-stage amphibian larvae. However, we suggest considering that different contexts might affect the reliability of WB CORT and consequently urge future studies to validate this method whenever it is used in new approaches. We conclude proposing some recommendations and perspectives on the use of WB CORT that will aid in broadening its application as a non-invasive tool in amphibian conservation physiology.
DOI: 10.6084/m9.figshare.8057912.v1
title: Additional file 2: of Perceptions of nephrology among medical students and internal medicine residents: a national survey among institutions with nephrology exposure

description: Fellowship Interest Questionnaire Part 1. First data file from survey responses.
DOI: 10.17632/s79rkk32df
title: Dosimetric evaluation of a chilled X-Ray irradiator

description: A new chilled X-ray system for insect irradiation was evaluated dosimetrically. The system was capable of irradiating up to 40 million sterile male mosquitoes per week with a DUR of 1.3 or better. Dosimetry was by GafchromicTM EBT-XD film, scanned at 75 dpi 24 hours after exposure and the color channel information extracted to Excel for processing. Files consist of tiff scans and Excel files of extracted and analysed data, the file names indicate the conditions under which the films were exposed as follows: film sequence number(s) (03-52); -Dnn.n, SSD in cm; -Fl, load flipped over at half exposure time; -R, load rotated, -T|M|B, top, middle or bottom plane of the load; -kVnnn, anode voltage in kV; -Ann.n, anode current in mA; -snnn, exposure time in seconds; -dnn, load depth reduced to, in cm; -r2, load displaced 2 cm right relative to initial exposures. Excel file names include a final component -6|6g indicating that 6 × 6 blocks of pixel values were added to reduce the final resolution to 2mm, g indicating the color channel. File name elements are excluded where they do not apply.
DOI: 10.17632/t2nncw3f23
title: Sensitivity and Uncertainty Analysis of Statistical and Machine Learning-Based Landslide Susceptibility Mapping in a Part of the Western Ghats, India

description: Dataset and python based ArcGIS Pro tools for creation of LSM of Kodagu
DOI: 10.6084/m9.figshare.14607882.v1
title: Global Pollinator Contribution Dataset and Associated Metadata and Analyses

description: This is the dataset and associated metadata and analysis for Rodger et al. "Widespread vulnerability of plant seed production to pollinator declines."<br>
DOI: 10.6084/m9.figshare.21586596.v1
title: Impulse Responses Measured in Motion in a Towing Tank

description: The packet contains estymators of impulse response measured in the towing tank while the transmitter is moving relative to the receiver. <br> More detail can be found on: Czapiewska, A.; Luksza, A.; Studanski, R.; Zak, A. Analysis of Impulse Responses Measured in Motion in a Towing Tank. <em>Electronics</em> <strong>2022</strong>, <em>11</em>, 3819. https://doi.org/10.3390/electronics11223819
DOI: 10.6084/m9.figshare.26119558.v1
title: A data set of retention indices and retention times for 200+ molecules and two stationary phases (gas chromatography)

description: Retention indices based on n-alkanes are a relative measure of the retention of chemical compounds in gas chromatography. Unlike retention times, retention indices are independent of most experimental conditions (flow rate, temperature, etc.) and depend mainly on the type of stationary phase and the structure of the compound. This is a small free data set made by us containing times and retention indices of 200+ organic molecules. The data were obtained under gas chromatography conditions.A set of 240 organic compounds of various chemical natures was used. Most of the compounds were purchased from commercial suppliers. All standard samples were tested by GC-MS (electron ionization) using the NIST 17 database. A standard mixture of C7-C40 n-alkanes was used (1000 μg/ml of each component in hexane, Sigma-Aldrich). Acetonitrile (UHPLC-Supergradient PAI-ACS, Panreac) was used to dissolve standard compounds. A sample of 1.5 mg of solid or 1 μL of liquid of each substance was dissolved in 1 mL of acetonitrile. Analyzes were carried out on a gas chromatograph-mass spectrometer Shimadzu GCMS-TQ8040 with a quadrupole mass analyzer. Up to 10 compounds (~1.5 mg/ml each) were mixed in one batch. When peak annotation was ambiguous, measurements of individual compounds were performed.The following chromatographic columns were used: ZB-5MS (60 m x 0.25 mm x 0.25 μm, Agilent) and SH-Stabilwax (30 m x 0.25 mm x 0.1 μm, Shimadzu). Length, inner diameter, and thickness of the layer are given. Measurements on the ZB-5MS column were performed under the following conditions: temperature of injector: 250 °C; temperature of ion source: and 200 °C; carrier gas: He; flow control mode: constant linear velocity; column flow rate: 1.47 ml/min; injection split ratio: 1:50; temperature programming: the temperature was kept at 30 °C during 5.5 min, then raised from 30 °C to 320 °C at 4 °C/min rate and then was kept constant during 10 min; the mass detector was used in electron ionization mode at 70 eV, scan rate: 1666 units/s, mass range: 44 - 500 m/z. Measurements on the SH-Stabilwax column were performed under the following conditions: temperature of injector: 250 °C; temperature of ion source: and 200 °C; carrier gas: He; flow control mode: constant linear velocity; column flow rate: 1.0 ml/min; injection split ratio: 1:50; temperature programming: the temperature was raised from 50 °C to 240 °C at 8 °C/min rate and then was kept constant during 30 min; the mass detector was used in electron ionization mode at 70 eV, scan rate: 2500 units/s, mass range: 45 - 500 m/z. The data set can be used in chemical analysis and as a benchmark for machine learning. The data set contains 240 entries for the non-polar stationary phase (ZB-5MS) and 202 for the polar stationary phase (SH-Stabilwax).This research was supported by the Ministry of Science and Higher Education of the Russian Federation (№ 124041900012-4).
DOI: 10.17632/dwjykg3xww
title: Refined NHANES 2007-2012 spirometry dataset for the comparison of segmented (piecewise) linear models to that of GAMLSS

description: Background
Current guidelines recommend using Generalized Additive Models for Location, Scale, and Shape (GAMLSS) to create reference equations for lung function. However, these models are complex & require additional spline tables for use. This study aimed to demonstrate that simpler methods, such as simple linear regression for the forced exhaled volume in 1 second to forced vital capacity ratio (FEV1/FVC ratio) and segmented linear regression (SLR) for forced exhaled volume in 1 second (FEV1) and forced vital capacity (FVC), can achieve similar prediction accuracies as GAMLSS in pulmonary function diagnostics.

Data
This study utilized secondary data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2007 and 2012. The dataset includes spirometry measurements from 16,596 participants (from an initial pool of 31,451) aged 6-80 years, representing diverse racial and ethnic backgrounds. Participants' weights ranged from 16.4-218.2 kg, heights from 104.6-203.8 cm, and BMI from 12.5-84.9 kg/m². The refined dataset only includes participants who met the minimum technical quality standards for spirometry maneuvers, as outlined by the American Thoracic Society (2005), specifically those performing A and B quality maneuvers. However, the data file also provides a secondary analysis of the calculated z-scores from the developed GAMLSS and piecewise regression models including whether participants had a restrictive respiratory pattern or an airway obstruction classification based on the calculated lower limit of normal. 

Methods
Reference equations FEV1, FVC, and the FEV1/FVC ratio were developed by G.Z. using different modeling techniques: simple linear regression for the FEV1/FVC ratio and segmented linear regression (SLR) for FEV1 and FVC. Initially, all races/ethnicities were grouped together as the primary hypothesis was to compare GAMLSS to SLR models and not to compare different biological ancestries. K-fold cross-validation was applied to calculate the 95% confidence interval (CI) for the root-mean-square error (RMSE), which served as an indicator of prediction accuracy. Additionally, the agreement between both modeling approaches in classifying spirometric patterns [normal, airflow obstruction, restrictive, mixed disorder, or preserved ratio impaired spirometry (PRISm)] was assessed using an unweighted kappa statistic.

Results
The RMSE values and correlation coefficients for FEV1, FVC, and the FEV1/FVC ratio were similar between the two modeling techniques. The agreement between the models in classifying spirometric patterns was also high, with kappa values ranging from 0.78 to 0.80 (95% CI).

Conclusions
Simple linear regression (FEV1/FVC ratio) and segmented linear regression (FEV1, FVC) provide prediction accuracies comparable to those of GAMLSS models. These simpler methods are more straightforward and accessible, making them a practical alternative for broader use in pulmonary function diagnostics.
DOI: 10.17632/wnk2wt8fv7
title: Pure Shift Quantification - NMR Datasets

description: NMR data sets from the article: "Absolute Metabolite Quantification Using Pure Shift NMR: Towards Quantitative Metabolic Profiling of Aqueous Biological Samples"
Including: Reference Library spectra (14 metabolites in 7 dilutions), Model Mixtures (mixture of 14 metabolites in 6 dilutions), Biological samples for quantitative applications (Cell culture medium, Extracellular media from DLBCL cancer cells).
DOI: 10.6084/m9.figshare.28596578.v3
title: Planting Area Distribution of Early Rice in Sanya, Hainan Province, China from 2019 to 2024 (10 m)

description: In March 2022, the team conducted an in-depth survey of the distribution of paddy fields in Sanya City. All members held handheld GPS devices and combined Google Map HD images to collect on-site data. After careful proofreading and visual interpretation, the data of 10,019.7 hectares of paddy fields were successfully collected. Following this investigation, in April 2024, I once again conducted field visits to the rice planting concentration areas in Yazhou District and Tianya District of Sanya, and obtained a total of 441 hectares of early rice planting area in 2024 in Sanya.Based on the above field survey data, this team developed a rice remote sensing recognition framework suitable for humid and cloudy areas. In this framework, rice growth-related vegetation index (NDVI, LSWI, NDWI) is integrated into the process of remote sensing image synthesis, and the midyear value of vegetation index is used as the quality band to eliminate the interference of cloud cover to a certain extent, and the commonly used image pixel median synthesis method is used to form four sets of rice image data in Sanya City. Four sets of image data were combined with ResNet-34 deep learning model to build a rice planting area recognition model. Based on the rice planting distribution recognition model, the team used LSWI synthetic remote sensing image to inversion the planting area of early rice in Sanya, and the results were uploaded to the compressed package.
DOI: 10.17632/pwdmm7843d
title: Data for: Impact evaluation and conservation outcomes in marine protected areas: a case study of the Great Barrier Reef Marine Park.

description: Appendix data associated with the biological impact of the Great Barrier Reef Marine Park. Spreadsheet includes studies that have compared outcomes in no-take zones within the Marine Park, with fished areas. Includes evaluation data for how studies conducted within the Marine Park adhered to 6 key principles of impact evaluation.
DOI: 10.6084/m9.figshare.21823455.v83
title: The ReptileEvolution.com Project

description:   
Taxon exclusion is the number one problem currently vexing paleontology. The search for pterosaur, turtle, bat, snake, whale, reptile and tetrapod ancestors continues to unnecessarily befuddle paleontologists who continue to work from cherry-picked, textbook and traditional taxon lists that overlook and omit pertinent taxa. That’s why the large reptile tree (LRT), the nearly completely resolved cladogram at the heart of www.ReptileEvolution.com, includes 2212 taxa. Larger taxon numbers minimize taxon exclusion issues. Results indicate the simple act of adding taxa resolves all phylogenetic issues.
DOI: 10.17632/ct4xm53n6b
title: Supplementary Material - Evaluation and Diagnosis of Longitudinal Melanonychia: A Clinical Review by a Nail Expert Group

description: 3 Supplementary Tables, 67 Supplementary Figures, and 1 Supplementary Video for the Journal of the American Academy of Dermatology (JAAD) - Evaluation and Diagnosis of Longitudinal Melanonychia: A Clinical Review by a Nail Expert Group.
DOI: 10.26180/25038404.v1
title: Midjourney 2023 Dataset

description: This dataset contains over 500,000 unique image generation prompts, collected from the public Discord channels of Midjourney users. The file format is parquet with the following fields:prompt - the user written promptuser - a numeric id for each usertimestamp - the date & time the prompt was enteredimage_url - the URL of the image generated from the promptThe upscale dataset contains prompts that were selected for upscaling only.
DOI: 10.6084/m9.figshare.14175563.v1
title: Environmental Awareness Result

description: score analysis for each EA indicator, actual score, and percentage
DOI: 10.6084/m9.figshare.1486478.v1
title: LIDDI - Provenance-Centered Dataset of Drug-Drug Interactions

description: Over the years several studies have demonstrated the ability to identify potential drug-drug interactions via data mining from the literature (MEDLINE), electronic health records, public databases (Drugbank), etc. While each one of these approaches is properly statistically validated, they do not take into consideration the overlap between them as one of their decision making variables. In this paper we present LInked Drug-Drug Interactions (LIDDI), a public nanopublication-based RDF dataset with trusty URIs that encompasses some of the most cited prediction methods and sources to provide researchers a resource for leveraging the work of others into their prediction methods. As one of the main issues to overcome the usage of external resources is their mappings between drug names and identifiers used, we also provide the set of mappings we curated to be able to compare the multiple sources we aggregate in our dataset.