cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6dfz46vh7w
title: Machine-learning-for-lactating-performance

description: This upload contains the dataset and code for the article "Harnessing Advanced Machine Learning Models for Precision Prediction of Lactation Performance and Health Risks in Large Dairy Herds". Includes:

Dataset: 5 years of records (19,798 cows) with milk yield, health events, environmental data, and dietary details.

Code: Python/R scripts for preprocessing, regression/classification models (RF, XGBoost), SHAP analysis, and visualizations.
DOI: 10.6084/m9.figshare.24100575.v1
title: Data of An Automatic Focusing Method for Robot Laser Welding System Based on Machine Vision

description: Data of An Automatic Focusing Method for Robot Laser Welding System Based on Machine Vision
DOI: 10.17632/253jr4br89
title: Demand response potential of heat pumps and electric vehicles with different communication protocols

description: This data set contains the simulation results for the demand response potential of heat pumps and electric vehicles with different communication protocols. For each communication protocol, 200 different devices are simulated over one year. The parameters of these devices are drawn from a uniform distribution. To calculate the demand response potential, each device is simulated in three instances in parallel: One instance does not receive any demand response signals, one instance receives signals for upward flexibility, and one instance receives signals for downward flexibility. The signals are sent in a random two-hour time window each day. The demand response potential is subsequently calculated based on the differences between the three instances. The simulation results are stored separately for each day.
DOI: 10.25452/figshare.plus.23564517.v3
title: <i>Glo3DHydroClimEventSet(v1.0)</i>: A global-scale event set of hydroclimatic extremes detected with the 3D DBSCAN-based workflow (1951–2022)

description: The <b><i>Glo3DHydroClimEventSet(v1.0)</i></b> is a 1951-2022 comprehensive and unified event-based set of multi-scale and multi-threshold heatwaves, cold surges, droughts, and extreme precipitation, generated with a 3D DBSCAN-based model by Dr. Zhenchen Liu （liuzhenchen90@163.com）and Prof. Wen Zhou (wen_zhou@fudan.edu.cn) @Fudan University, China. The event set consists of three parts as follows:<br>i) event sets are stored in four kinds of <i>zip-format</i> files prefixed with "<i>ExtremePreci_</i>", "<i>Cold_</i>", "<i>Heat_</i>", and "<i>Drought_</i>";<br>ii) Typical Examples for valications are provided as "<i>TechValidation_Example_Animations_Table5.zip</i>" and "<i>TechValidation_Example_Files_Table5.zip</i>";<br>iii) Codes for selection of events located within target areas during the target periods are also provided, entitled as "Codes_SciData_LiuZhou2023.zip"<br>In addition, the decompressed sizes of all the zip-format files of event sets are as follows:(1/9): Global-scale SA-based cold surge event set. The total size of decompressed files are 282GB.(2/9): Global-scale percentile-based cold surge event set. The total size of decompressed files is 96GB.(3/9): Global-scale SA-based extreme precipitation event set based on five-day-accumulated precipitation. The total size of decompressed files is 1.01TB.(4/9): Global-scale SA-based extreme precipitation event set based on daily total precipitation. The total size of decompressed files is 301GB.(5/9): Global-scale percentile-based extreme precipitation event set based on daily total precipitation. The total size of decompressed files is 72GB.(6/9): Global-scale percentile-based extreme precipitation event set based on five-day-accumulated total precipitation. The total size of decompressed files is 284GB.(7/9): Global-scale SA-based heatwave event set on daily scale. The total size of decompressed files is 205GB.(8/9): Global-scale percentile-based heatwave event set. The total size of decompressed files is 34.7GB.(9/9): Global-scale SA-based meteorological drought event set. The total size of decompressed files are 147GB.<br>
DOI: 10.6084/m9.figshare.23290178.v6
title: Supplementary file :horse with and without strategic palmar trimming

description: Data set :Measurement of DHWA/HA ratio, hoof solar surface size and palmar trimming length in horse with strategic palmar trimming.
Data was collected by quatitative measurement of hoof conformation from the capture images of each horse at given time point.The data was collected during 2021-2022.
The aim of this study is to investigate the potential of strategic palmar trimming before conventional shoeing for managing underrun heels in horses.Methodology detail, the hoof conformation including, dorsal hoof wall angle, heel angle, solar surface dimension are measured before the commencement of the study. the palmar trimming length before shoeing is also determined.Data are compared before (0 wk) and at 5 week intervals for 30 weeks.The experiment in animal was approved by institutional animal care and use committee, Kasetsart university (ACKU64-VET-040)
DOI: 10.6084/m9.figshare.23790393.v1
title: full_reference_return_model.rds

description: Seurat object with the integrated reference scRNA-Seq dataset of peripheral blood CD4 T lymphocytes.<br>Please use this object as a reference dataset for CD4map R package (https://github.com/kriukovav/CD4map)<br>The integrated dataset consists of new samples (Chudakov lab, to be published), and published data (Stephenson, E., Reynolds, G., Botting, R.A. <i>et al.</i> Single-cell multi-omics analysis of the immune response in COVID-19. <i>Nat Med</i> <b>27</b>, 904–916 (2021). https://doi.org/10.1038/s41591-021-01329-2).<br>Cell barcodes in samples from Stephenson<i> et al.</i> are consistent with the original paper.<br>Seurat metadata includes the most frequent TCR alpha and TCR beta clonotypes in cells.Metadata columns starting with "sortseq_" contain frequencies of the given clonotypes in repertoires of sorted Th subsets from Kasataskaya <i>et al. </i>(Sofya A Kasatskaya, <i>et al. </i>(2020) <b>Functionally specialized human CD4+</b> <b>T-cell subsets express physicochemically distinct TCRs</b> <i>eLife</i> <b>9</b>:e57063. https://doi.org/10.7554/eLife.57063)<br>This object is used in this analysis pipeline.
DOI: 10.6084/m9.figshare.27950739.v5
title: Metagenomic mining reveals novel viral histones in dsDNA viruses

description: This repository contain the data used for the study "Metagenomic mining reveals novel viral histones in dsDNA viruses" as well as the results and the code used to make the different figures of the paper.
DOI: 10.6084/m9.figshare.8977496.v1
title: Supplemental tables for: Clinical and genetic characterization of 153 patients with persistent or transient congenital hyperinsulinism. Männistö JME et al. JCEM 2019.

description: Supplemental tables 1-4
DOI: 10.17632/3mgmwbvsht
title: Dataset "Seasonal variation in thermoregulatory capacity of three closely related Afrotropical Estrildid finches introduced to Europe"

description: A species' potential geographical range is largely determined by how physiologically the species reacts to its changing environment. It is therefore crucial to study the physiological mechanisms that species use to maintain their homeothermy in order to address biodiversity conservation challenges, such as the success of invasions of introduced species. The common waxbill Estrilda astrild, the orange-cheeked waxbill E. melpoda and the black-rumped waxbill E. troglodytes are small Afrotropical passerines that have established invasive populations in regions where the climate is colder than in their native ranges. As a result, they are excellent model species for studying potential mechanisms for coping with a colder and more variable climate. The "cold tolerance hypothesis" and the "climate variability hypothesis" were tested in captive-bred waxbills for explaining seasonal variation in thermoregulatory traits, such as basal (BMR), summit (Msum) metabolic rates and thermal conductance. We found that, from summer to autumn, their ability to resist colder temperatures increased. This was not related to larger body masses or higher BMR and Msum, as predicted by the cold tolerance hypothesis. Instead, species downregulated BMR and Msum toward the colder season, suggesting energy conservation mechanisms to increase winter survival. In line with the climate variability hypothesis, BMR and Msum were most strongly correlated with temperature variation. Moreover, common waxbill and black-rumped waxbill, whose native ranges encompass the highest degree of seasonality, showed the most flexibility in metabolic rates. This ability to adjust thermoregulatory traits, combined with increased cold tolerance and energy saving mechanisms, may facilitate their establishment in areas characterized by colder winters and less predictable weather.
DOI: 10.17632/n35zwbzhcf
title: Vibration Data for Laminated Composite Structures: Healthy and Delamination States

description: This dataset contains vibration data collected from laminated composite structures in three health states: healthy and two delamination cases. The composites were fabricated using carbon fiber prepreg (T700SC-12k-60E) with a [0/90/0/90]s ply configuration via hot press compression molding. Delaminations were introduced using PTFE Teflon film near the fixed and free ends. Vibration data were acquired using an accelerometer (Type 4517-C) under cantilever conditions, excited by random signals. Each health state includes data from five samples, with ten random responses per sample, captured over 15 seconds at a 2.5 kHz sampling rate. This dataset supports prognostics and health monitoring (PHM), and structural health monitoring (SHM) research.

Dataset Structure:
The dataset is organized into three folders, each representing a different health state: healthy, delamination-1, and delamination-2. Within each folder, there are five MAT files, corresponding to data collected from five samples of the respective health state. Each MAT file contains 10 data structures (referred to as variables P01, P02,...,P10), representing 10 random vibration responses for each sample. Each response consists of two columns: the first column represents the input excitation signal sent to the shaker, and the second column captures the output vibration signal measured by the accelerometer. 

More details about the dataset can be found in the below references (if you use this dataset please cite): 

1. Azad, Muhammad Muzammil, and Heung Soo Kim. "Hybrid deep convolutional networks for the autonomous damage diagnosis of laminated composite structures." Composite Structures 329 (2024): 117792. https://doi.org/10.1016/j.compstruct.2023.117792
2. Azad, Muhammad Muzammil, Prashant Kumar, and Heung Soo Kim. "Delamination detection in CFRP laminates using deep transfer learning with limited experimental data." Journal of Materials Research and Technology 29 (2024): 3024-3035. https://doi.org/10.1016/j.jmrt.2024.02.067
3. Azad, Muhammad Muzammil, Sungjun Kim, and Heung Soo Kim. "Autonomous data-driven delamination detection in laminated composites with limited and imbalanced data." Alexandria Engineering Journal 107 (2024): 770-785. https://doi.org/10.1016/j.aej.2024.09.004
4. Azad, Muhammad Muzammil, and Heung Soo Kim. "An explainable artificial intelligence‐based approach for reliable damage detection in polymer composite structures using deep learning." Polymer Composites (2024). https://doi.org/10.1002/pc.29055
5. Azad, Muhammad Muzammil, and Heung Soo Kim. "Noise robust damage detection of laminated composites using multichannel wavelet-enhanced deep learning model." Engineering Structures 322 (2025): 119192. https://doi.org/10.1016/j.engstruct.2024.119192
DOI: 10.17632/wm84d8m8js
title: Constraints from uranium and molybdenum isotope ratios on the origin of enriched mid-ocean ridge basalts - Data

description: Supplementary data for Rodney et al., Constraints from uranium and molybdenum isotope ratios on the origin of enriched mid-ocean ridge basalts
DOI: 10.17632/yy7hxp5td4
title: Arsenic Trioxide Rescues Structural p53 Mutations through a Cryptic Allosteric Site

description: TP53 is the most frequently mutated gene in cancer, yet these mutations remain therapeutically non-actionable. Major challenges in drugging p53 mutations include heterogeneous mechanisms of inactivation and the absence of broadly-applicable allosteric sites. Here we report the identification of small molecules including arsenic trioxide (ATO), an established agent in treating acute promyelocytic leukemia, as cysteine-reactive compounds that rescue structural p53 mutations. Crystal structures of arsenic-bound p53 mutants reveal a cryptic allosteric site involving three arsenic coordinating cysteines within the DNA-binding domain, distal to the zinc-binding site. Arsenic binding stabilizes the DNA-binding loop-sheet-helix motif alongside the overall β-sandwich fold, endowing p53 mutants with thermostability and transcriptional activity. In cellular and mouse xenograft models, ATO reactivates mutant p53 for tumor suppression. Investigation of the most frequent twenty-five p53 mutations informs patient stratification for clinical exploration. Our results provide mechanistic basis for repurposing ATO to target p53 mutations for widely-applicable yet personalized cancer therapies.
DOI: 10.6084/m9.figshare.28736591.v2
title: Data & Code for: The relative roles of selection and drift in the chaffinch radiation (Aves: <i>Fringilla</i>) across the Atlantic archipelagos of Macaronesia. Published in Journal Ecology and Evolution.

description: The data includes datasets and scripts to perform Genotype-Environment Association analysis.This folder contains a README.txt that explains each file.
DOI: 10.6084/m9.figshare.3505766.v1
title: lung CT scans

description: The data we used in the presented manuscript consists of six slices of lung CT scans. They are from three different patience. The first one is normal, and the other two were found tumors on their lungs.
DOI: 10.17632/nhhmrw79z9
title: Neural correlates of goal-directed and non-goal-directed movements

description: Dataset for Sendhilnathan et al., 2021 PNAS
DOI: 10.6084/m9.figshare.27826857.v1
title: Normalized Somalogic proteome expression values

description: EDTA blood samples were collected from participants, cells were centrifuged, and supernatants and pellets were stored at -80 <sup>o </sup>C until analysis. Plasma was centrifuged for 15 min at 2200 x g, and 60 ul of supernatant was used for used for the SOMAscan assay performed by SomaLogic, Boulder, CO as described previously (Gold et al., 2010;Han et al., 2018;Tin et al., 2019;Yang et al., 2020). Raw signals were then normalized as described (Gold et al., 2010;Han et al., 2018). These steps include hybridization normalization, plate scaling and calibration, and the adaptive normalization by maximum likelihood (ANML), which normalizes SomaScan EDTA plasma measurements to a healthy U.S. population reference, and then log<sub>2</sub> transformed, (resulting in data file: sbst3_norm_SIG_Somalogic_UTHSC_2021_291122.txt.
DOI: 10.6084/m9.figshare.29153876.v1
title: Swine production and policy data from 30 Chinese provinces over the years 2005 to 2021.xlsx

description: swine production data from 30 Chinese provinces over the years 2005 to 2021, including swine production efficiency,scale and many other variables related to the swine insurance policy.
DOI: 10.17632/pfc2zdr2g3
title: Neuromarketing Analysis of the Educational Toy Industry.

description: This is a case study of the packaging in the Educational Toy Industry with Eye tracking. There are two data sources: the first [observations.csv] is the data obtained in Eye tracking with Gazepoint Analysis and consists of 350 records and 16 columns (variables): Media ID: 0 for EDUCA o 1 for DISET; Media Name: EDUCA o DISET; Media Duration (sec - U = UserControlled): duration of the visualization; AOI ID: id of the area of interest; AOI Name: name of the area of interest AOI 0 : NUMBER OF QUESTIONS AND TOPICS, AOI 1: DRAW OF TOPICS (for EDUCA) / DESCRIPTIVE MESSAGE (for DISET), AOI 2: BRAND, AOI 3: RECOMMENDED AGE, AOI 4: PRODUCT FAMILY, AOI 5: PRODUCT NAME, AOI 6: GAME PICTURE; AOI Start: Starting time of analysis of the area of interest (0 if it is a static image, but it can be different from 0 for a video where it is interested to monitor something that comes in the instant 10 sec., for example); AOI Duration (sec - U = UserControlled): Active duration of the area of interest (matches the total duration, but in a video we can monitor something just a few seconds); User ID, User Name, User Gender, User Age, Time to 1st View (sec): Time (in seconds) until you see each area of interest for the first time (If the value is -1 means that the area has not been visualized); Time Viewed (sec): Time (in seconds) that the area of interest has been visualized; Time Viewed (%): Time (in percentage) that the area of interest has been visualized (relative to the overall time dedicated); Fixations (#): Number of fixations or times that user user has looked at that area of interest, being able to look at several parts of it, counting each part as a fixation; Revisits (#): Number of revisits made to the area of interest, coming from another part of the image/video. The second data source [users.csv] refers to the users who participated in the study and consists of 25 records and 8 columns that show their social situation (sex, personal situation, number of children, age, etc.). These tables were cross-referenced in order to explain the data obtained by Eye Tracking, together with the characteristics of each individual. After eliminating the redundant, empty and repeated variables, and after assigning a suitable format to the remainder, a dataset of 13 columns and 350 rows was obtained [AOI_Statistics_for_each_user.csv].
DOI: 10.6084/m9.figshare.28890965.v1
title: Somatic mutations including variants of uncertain significance (VUS) identified by FoundationOne CDx testing in papillary thyroid carcinoma.xlsx

description: This dataset contains a summary of somatic variants, including variants of uncertain significance (VUS), identified through FoundationOne CDx testing in patients with papillary thyroid carcinoma. The data include gene names, mutation contexts and types, and their interpretations.All patient-identifiable information has been removed. <br>
DOI: 10.6084/m9.figshare.14742924.v2
title: https://figshare.com/articles/figure/database_zip/14742924

description: Data related to the manuscript: "Optimized 3D printing of THz waveguides with cyclic olefin copolymer"<br>
DOI: 10.17632/jjn4ht687d
title: JMuBEN 3

description: JMuBEN 3 Contains  a file of sweet potato datasets affected by rust. The images were collected in Kakamega County-Kenya, using a digital camera and with the help of plant pathologist for easy disease identification. Dataset contains 1383 images affected by leaf rust compressed in one folder. JMuBEN 3 also contains code for a model that was adopted for sweet potato leaf rust detection. The model can also be used for other plant leaf diseases classification.
DOI: 10.17632/v6zcdkjzjd
title: UAV-Images dataset over a small intertidal coastal strip within "El Soldado", estuary in Guaymas, Sonora, México.

description: This dataset contains 314 aerial photographs taken in March 02, 2019 at 9 a.m. (UTC - 07:00) over an experimental site instrumented with an eddy covariance tower and meteorological sensors at "El Soldado" estuary located at the South-eastern margin of the Gulf of California (coordinates). The images were taken with a 16 MP MAPIR Survey2 RGB camera pointed downwards at 90° with a field of view (FOV) of 82°, a shooting interval of two seconds, focal aperture of f/2.8 (default for MAPIR Survey2 Cameras), shutter speed set to 1/125 and ISO 50. The camera was mounted on a commercial-grade Unmanned Aerial Vehicle (UAV, 3DR solo) to perform a 10-minutes flight over the study site with an altitude of 30 m and a horizontal velocity of 4 m/s . Photographs side overlap was set to 75% while the forward overlap was 85%. Flight conditions during the aerial survey were clear sky with wind velocity less than 0.5 m/s. All images were geotagged using UAV flight controller information through the freeware GeoSetter v3.5. This dataset was used as a mapping tool and support for the project: "Caracterización de los almacenes y flujos de carbono en pastos marinos de regiones bioclimáticas contrastantes de México."
DOI: 10.6084/m9.figshare.23386052.v1
title: Distribution Characteristics of Dimethylated Sulfur and Methane and Aerobic Methane Production in the Yellow Sea and Bohai Sea

description: spatial and vertical distributions of dimethylated sulfur componds and methane in the Yellow Sea and Bohai Sea
DOI: 10.6084/m9.figshare.24499300.v1
title: Dataset from High temperatures are associated with reduced cognitive performance in wild southern pied babblers

description: The Excel file contains the data analysed in the present study, organised in 7 data sheets and an additional metadata sheet that provides a description of the content of each data sheet and a definition of each variable.
DOI: 10.6084/m9.figshare.25451437.v1
title: The genome information files of Stellera chamaejasme

description: AbstractUnderstanding how populations diverge and new species arise is a central questionin evolutionary biology. “Allopatric” divergence through geographical isolation is con?sidered to be the commonest mechanism generating species biodiversity in mountainecosystems. However, the underlying genomic dynamics, especially genomic islandsof elevated divergence and genes that are highly diverged as a result of lineage?specific selection, remain poorly understood. <i>Stellera chamaejasme</i> has a wide geo?graphical range across the Qinghai–Tibet Plateau and northern China, making it agood model with which to explore genomic divergence during speciation in mountainecosystems. We assembled a high-quality, chromosome-level genome for this speciesand resequenced the genomes of 24 populations across its major distribution. Ourpopulation genomic analyses recovered four distinct genetic lineages correspond?ing to geographical distributions with contrasting environments. However, we re?vealed continuous gene flow during the historical divergences of these four lineages.Interlineage hybrids and plastome introgressions were frequently found in regions ofcontact, which further increased gene flow between two contacting lineages in therecent past. The elevated divergences were highly heterogeneous across the genomeand selection of ancestral polymorphisims and divergence hitchhiking contributedgreatly to the formation of genomic islands. The highly diverged and lineage-specificpositively selected genes within and outside genomic islands were annotated to bemainly involved in local adaptation. Our results suggest that genomic divergence in<i>S. chamaejasme</i> is likely to have been triggered and maintained by local selection to?gether with geographical isolation.
DOI: 10.6084/m9.figshare.3829977.v3
title: scikit-learn lfw dataset pairsDevTrain.txt

description: Part of the LFW dataset used in scikit-learn
DOI: 10.6084/m9.figshare.1164632.v1
title: Davis Instrumented Bicycle Experiment Raw Data

description: This data set contains all of the raw data collected with the Davis Instrumented Bicycle during the trials described in: Moore, J. K. "Human Control of a Bicycle", 2012. See the README.TRIAL.rst for more details.
DOI: 10.6084/m9.figshare.19915021.v2
title: Teledentistry: a new oral care delivery tool among Indian dental professionals – a questionnaire study

description: The uploaded data sheet includes details of data related to study -teledentistry and Indian dental professional's knowlwdge, awareness and attitude
DOI: 10.6084/m9.figshare.28544777.v1
title: <b>Immersive Interaction for Inclusive Virtual Reality Navigation: Enhancing Accessibility for Socially Underprivileged Users.pdf</b>

description: Immersive Interaction for Inclusive Virtual Reality Navigation: Enhancing Accessibility for Socially Underprivileged Users's Data