cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4754251.v2
title: Genome annotation of the oleaginous yeast Rhodotorula toruloides strain CGMCC 2.1609

description: Genome annotation of the oleaginous yeast Rhodotorula toruloides strain CGMCC 2.1609 as a GFF file. Genome sequence and further information is available on NCBI.
DOI: 10.11583/dtu.21284967.v3
title: Raw AI4Arctic Sea Ice Challenge Dataset

description: The AI4Arctic Sea Ice Challenge Datasets are produced for the AI4EO sea ice competition initiated by the European Space Agency (ESA) ɸ-lab. The purpose of the competition is to develop deep learning models to automatically produce sea ice charts including sea ice concentration, stage-of-development and floe size (form) information. The training datasets contain Sentinel-1 active microwave Synthetic Aperture Radar (SAR) data and corresponding passive MicroWave Radiometer (MWR) data from the AMSR2 satellite sensor. While SAR data has ambiguities between open water and sea ice, it has a high spatial resolution, whereas MWR data has good contrast between open water and ice. However, the coarse resolution of the AMSR2 MWR observations introduces a new set of obstacles, e.g. land spill-over, which can lead to erroneous sea ice predictions along the coastline adjacent to open water. Label data in the challenge datasets are ice charts, that have been produced by the Greenland ice service at the Danish Meteorological Institute (DMI) and the Canadian Ice Service (CIS) for the safety of navigation. The challenge datasets also contain other auxiliary data such as the distance to land and numerical weather prediction model data. The scenes are from the time period from January 8 2018 to December 21 2021. Two versions of the dataset exist, the '<em>raw'</em> and '<em>ready-to-train'-</em>versions with corresponding test datasets<em>. </em>The datasets each consist of the same 512 training and 20 test (without label data) scenes. The ‘<em>ready-to-train’</em>-version has been further prepared for model training, such as downsampled data from 40 to 80 m pixel spacing, standard scaled, converted ice charts (sea ice concentration, stage of development and floe size), removal of nan values, mask alignment etc. This is the '<em>raw'</em>-version<em>. </em>The netCDF files are bundled together in groups ~25 with the filename format corresponding to the Sentinel-1 satellite from which the SAR image was acquired by, followed by the first file acquisition time to the last, i.e. S1(A/B)_FirstDate_LastDate.zip. Further details are described in the common manual that is published together with the datasets; “AI4Arctic_challenge-dataset-manual”. Code with a get-started toolkit for the '<em>ready-to-train</em>' dataset: https://github.com/astokholm/AI4ArcticSeaIceChallenge A quick challenge video overview of the challenge is available at: https://youtu.be/iuXIeLPyKfg This item is part of the Collection https://doi.org/10.11583/DTU.c.6244065 Version 2 has updated two zip files, which contained four corrupted netCDF files. The zip files in question are: S1A_20190419T203541_20190823T114541.zip S1B_20191028T132359_20200714T184241.zip In addition, 20 more scenes have been added in "added_v2.zip". Version 3 fixes an error with a duplicate zip file starting with "S1A_20190419T203541_".., adds the "S1A_20181018T121002_20190415T211043.zip" file and removed a scene with a faulty ice chart resulting in an updated "S1A_20191201T205227_20200619T122818.zip" file.
DOI: 10.6084/m9.figshare.16722904.v2
title: Data File - Digital Taxation

description: Systematic Literature Review data
DOI: 10.6084/m9.figshare.3550143.v1
title: Appendix E. Annotated R code and output for analyses presented in the article .

description: Annotated R code and output for analyses presented in the article .
DOI: 10.6084/m9.figshare.c.3929461_d7.v1
title: Additional file 7: of GWAS for plant growth stages and yield components in spring wheat (Triticum aestivum L.) harvested in three regions of Kazakhstan

description: Manhattan and QQ plots based on the analysis of field plot data from North Kazakhstan analyzed using the TASSEL 5.0 package. (XLS 6271Â kb)
DOI: 10.6084/m9.figshare.6682742.v1
title: Faster-RCNN features

description: Precomputed Faster RCNN features.We used pre-trained model provided by chainercv as a feature extractor.http://chainercv.readthedocs.io/en/stable/reference/links/faster_rcnn.html#chainercv.links.model.faster_rcnn.FasterRCNNVGG16<br>
DOI: 10.6084/m9.figshare.14797665.v1
title: Supplementary Material for: Speech Performance among Healthy Malay Female Speakers during Dual-Task and Sentence Complexity

description: Medicine
DOI: 10.6084/m9.figshare.28120589.v1
title: Seismic imaging of the Reunion mantle plume

description: Data and tomographic results of the manuscript titled "Seismic imaging of the Reunion mantle plume".
DOI: 10.6084/m9.figshare.8092058.v1
title: ReviewArticles_Authors.csv

description: This Database belongs to “A Database for Using Machine Learning and Data Mining Techniques for Coronary Artery Disease diagnosis” research paper. This database includes 15 tables. We chose to index papers related to CAD detection using machine learning and data mining approaches that are published between 1992 and 2018. These criteria result in 126 papers in which 490 authors contributed to these papers. These papers studied 68 different datasets with almost more than 360 distinct features collected in 18 countries from Asia, Europe, and America. In these papers, 140 different machine learning or data mining techniques were applied to diagnose CAD. To use csv file, open it in excel or import it in your database.
DOI: 10.6084/m9.figshare.28633895.v1
title: SH interference (phase sensitivity) S polarization

description: Raw data for the second harmonic interference measurements [Fig 8 in the manuscript]: SH interference (phase sensitivity) S polarization.
DOI: 10.17632/c68g5xkndz
title: Stable tungsten isotopes decipher the chemical weathering of granitic regolith and its implication for REE enrichment in Ion-adsorption ore deposit

description: This dataset supports the study titled "Stable Tungsten Isotopes Decipher the Chemical Weathering of Granitic Regolith and Its Implications for REE Enrichment in Ion-Adsorption Ore Deposits." It includes stable tungsten isotope data, concentrations of major and trace elements, and parameters that are critical for understanding the chemical weathering processes in granitic regolith and their role in rare earth element (REE) enrichment within ion-adsorption ore deposits.
DOI: 10.17632/p545cr4zg4
title: Derivation of the orbit of a double star from observations made with an intensity interferometer

description: Title of program: BIN DYN Catalogue Id: AACD_v1_0 Nature of problem The data from a stellar intensity interferometer consists of a set of observations of the correlation of the light from two optical reflectors with a given separation (the baseline). If the star is double the data can be used to find the orbit of the double star. This has been done for the star alpha Virginis. Versions of this program held in the CPC repository in Mendeley Data AACD_v1_0; BIN DYN; 10.1016/0010-4655(71)90016-6 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.21623616.v2
title: Children's responses and creations from Jac's River Adventure workshops in Wales, United Kingdom

description: The excel file documents transcribed verbal responses from children who took part in Jac's River Adventure workshops and codes for local features (tab: CodedConnections), local river species (tab: CodedSpeciesKnowledge), and the elements, perspective, and whether an actual or imagined experience was expressed in their river adventure creations (tab: Coded-Elements-byID). *Corresponding author: Stephanie Januchowski-Hartley, s.r.januchowski@gmail.com
DOI: 10.6084/m9.figshare.1010145.v1
title: Development of chess expertise. Dataset with total practice and current rating.

description: This dataset contains data of 104 chess players. The main variables are current rating, total number of hours of individual and group practice, starting age, handedness and a number of chess activities.
DOI: 10.6084/m9.figshare.10321685.v1
title: SuperDARN data

description: SuperDARN map files. Processed using RST 4.1, FITACF version 2.5.
DOI: 10.6084/m9.figshare.20463943.v1
title: Diversity, systematics and biogeography of French Polynesian <i>Lobophora</i> (Dictyotales, Phaeophyceae)

description: We re-evaluated the diversity of <i>Lobophora</i> using an integrative taxonomic approach based on a broad sampling across French Polynesian archipelagos. Our results show that French Polynesia supports at least 37 <i>Lobophora</i> species of which ~57% (21) are endemic. This level of endemicity is comparable to that presently known in the Caribbean and the western Indian Ocean, while French Polynesian coastlines cover a much smaller length. With a third of the species in common, French Polynesia shares considerable biogeographic affinities with the Melanesian Islands, situated over 4000 km to the west. Distribution ranges of a few species reach the western Indian Ocean, and two species also occur in the Atlantic. We hypothesize that <i>Lobophora</i> species in French Polynesia have mainly evolved into endemic species from colonizers originating from the Central Indo-Pacific. These rare dispersal events to ocean archipelagos followed by a long period of isolation and speciation represent an important process responsible for the high level of endemism in remote archipelagos. While south-eastern Pacific Islands could be considered an ‘evolutionary graveyard’ for the genus <i>Lobophora</i> as little local radiation occurred, this may simply be due to recent evolutionary history. Based on these new data, the diversity of <i>Lobophora</i> represents ~10% of French Polynesian seaweed diversity. Eighteen new species of <i>Lobophora</i> are here described from French Polynesia. <i>Lobophora</i> species diversity and biogeography in French Polynesia were investigated.Twenty-three species of <i>Lobophora</i> were newly identified, and 18 new species were described.This is the first inter-archipelago diversity and biogeographic study for a macroalgal genus in the French Polynesian region. <i>Lobophora</i> species diversity and biogeography in French Polynesia were investigated. Twenty-three species of <i>Lobophora</i> were newly identified, and 18 new species were described. This is the first inter-archipelago diversity and biogeographic study for a macroalgal genus in the French Polynesian region.
DOI: 10.25380/iastate.22582234.v2
title: <b>ISU-ILCC Battery Aging Dataset</b>

description: The ISU-ILCC battery aging dataset was collected jointly by the System Reliability and Safety Laboratory at Iowa State University (ISU), now the Reliability Engineering and Informatics Laboratory (REIL) at the University of Connecticut, and Iowa Lakes Community College (ILCC). The dataset is designed to study the dependency of battery capacity fade from three stress factors: charge rate, discharge rate, and depth of discharge. The dataset contains cycle aging data from 251 lithium-ion (Li-ion) polymer cells (also called lithium polymer cells) cycled under 63 unique conditions. The current release contains 238 cells; the other 12 cells have not completed the testing (data from those cells will be included in a future release).We would also like to acknowledge Zihao Zhou and Dr. David Howey from the Department of Engineering Science at the University of Oxford for their contributions to this publication.Change log: Release 2.0 folders added and readme file revised 12/2023.
DOI: 10.6084/m9.figshare.23632425.v1
title: Anemia 2

description: prepost test study
DOI: 10.6084/m9.figshare.28330118.v1
title: Nuclear microsatellite data for 230 sheep, ewes and rams, from three breeds, Bardoka, Karakachan sheep and Ile-de-France from Serbia

description: The dataset was generated and used in the publication entitled: "Towards genetically informed conservation of the Bardoka and Karakachan sheep breeds autochthonous to Serbia". We use 14 nuclear microsatellites recommended by the International Society for Animal Genetics (ISAG) and Food and Agriculture Organization of the United Nations (FAO UN) for sheep genotyping to analyze 230 animals, ewes and rams, belonging to two autochthonous breeds, Bardoka and Karakachan sheep from Serbia, and one commercial breed, Ile-de-France, used as an outgroup. We We take advantage of genetic data to assess inbreeding values of individuals (I) and pairwise relatedness (r) traditionally inferred from the pedigree data which, however, are incomplete in studied autochthonous breeds, and use these data to assemble a data set of unrelated individuals for subsequent genetic analyses to assess levels of genetic diversity and genetic structure in autochthonous breeds. We use genetic data to set the grounds for the implementation of the genetically informed conservation of Bardoka and Karakachan sheep in Serbia..
DOI: 10.17632/pwd6cmzv9j
title: Short-term liquidity + macro

description: Dataset contains multiple quotes of various instruments (short-term liquidity) and global macro indicators or Russian financial market.
DOI: 10.17632/y4z7t5p54k
title: Data for: Automatic endmember bundle unmixing methodology for lunar regional area mineral mapping with ChangE-1 data

description: The dataset is 2 Level collected by Chandrayaan-1 includes 85 contiguous bands from 460 nm to 2970 nm with 140-280 m spatial resolution for global observations. The data ID of the research area is M3G20090118T022705-V01-RFL, which can be downloaded from (http://pds-imaging.jpl.nasa.gov/data/m3).
DOI: 10.15468/dl.yr7htr
title: Occurrence Download

description: A dataset containing 14481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Agrotis exclamationis (Linnaeus, 1758)"
 ]
}

 The dataset includes 14481 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009400-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/64strcdfjh
title: Lance trial publication

description: This dataset includes patient data from the LANCE study to facilitate reproducibility and data reuse. The data encompasses patient outcomes in terms of overall survival and progression-free survival, as well as detailed information on gender, age, time to treatment, Performance Status, and immunohistochemical positivity for TP53, RB1, and Ki67%. Additionally, it includes data on each patient's treatment regimen. Also included are plasma levels of miR375 before and after treatment. Furthermore, the dataset contains the R codes used for data analysis and findings of the study.
DOI: 10.6084/m9.figshare.4141593.v2
title: NanoWiki (release 4)

description: Added more source annotation and SMILES info for many materialsm and physchem endpoints are now annotated with ontology terms. Furthermore, nanomaterials can now be typed with a specific ontology term, such as the JRC representative test materials.
DOI: 10.17632/5vsw5xh9zv
title: Data for: Colloidal transport mechanisms and sequestration of U, Ni, and As in meromictic mine pit lakes

description: Raw data of the analysis of solid sediment samples: XRD fits, SEM-EDS, XRF maps, Laue diffraction indexations. Raw data of the analysis of colloidal particles: S/TEM images and corresponding EDS spectra.
DOI: 10.6084/m9.figshare.13636835.v1
title: Supplementary Material for: Metabolic Changes after Radioiodine Correction of Grade 1 and Grade 2 Subclinical Hyperthyroidism

description: <b><i>Objective:</i></b> Endogenous subclinical hyperthyroidism (eSCH) is defined by subnormal serum thyroid-stimulating hormone (TSH) level. There is limited evidence of metabolic changes induced by eSCH. The aim of our work was to evaluate changes in BMI and lipid parameters after radioiodine treatment in patients with grade 1 (TSH: 0.1–0.39 mlU/L) and 2 (TSH &lt;0.1 mlU/L) eSCH. <b><i>Design:</i></b> A retrospective study was performed on 74 patients with eSCH caused by benign autonomous nodular goiter which was treated with radioiodine. <b><i>Methods:</i></b> We assessed BMI, lipids parameters, and TSH after radioiodine therapy. The 12-month follow-up time point was used to compare the primary outcome variables. TSH was measured by the electrochemiluminescence method. <b><i>Results:</i></b> After radioiodine therapy, the absolute and relative increases in BMI at 12 months were significantly higher in the grade 2 group than in the grade 1 group (1.07 ± 0.27 kg/m<sup>2</sup> vs. 0.26 ± 0.15 kg/m<sup>2</sup>, respectively; <i>p</i> = 0.023 and 4.01 ± 0.98% vs. 1.01 ± 0.56%, respectively; <i>p</i> = 0.026). Compared to baseline, significant increases in the levels of total cholesterol and LDL were observed after treatment in the grade 2 eSCH group (16.7 ± 4.5 mg/dL <i>p</i> &lt; 0.01 and 14.3 ± 4.1 mg/dL <i>p</i> &lt; 0.01, respectively) but not in the grade 1 group. In a multivariate model, a negative correlation was observed between pretreatment TSH levels and absolute BMI gain (<i>p</i> &lt; 0.01). <b><i>Conclusions:</i></b> After correction of eSCH, increases in BMI and LDL levels were observed only in patients with grade 2 eSCH. Pretreatment serum TSH was the main independent factor associated with BMI changes after radioiodine treatment.
DOI: 10.6084/m9.figshare.15059742.v1
title: Supplementary Material for: Advanced Machine Learning Tools to Monitor Biomarkers of Dysphagia: A Wearable Sensor Proof-of-Concept Study

description: <b><i>Introduction:</i></b> Difficulty swallowing (dysphagia) occurs frequently in patients with neurological disorders and can lead to aspiration, choking, and malnutrition. Dysphagia is typically diagnosed using costly, invasive imaging procedures or subjective, qualitative bedside examinations. Wearable sensors are a promising alternative to noninvasively and objectively measure physiological signals relevant to swallowing. An ongoing challenge with this approach is consolidating these complex signals into sensitive, clinically meaningful metrics of swallowing performance. To address this gap, we propose 2 novel, digital monitoring tools to evaluate swallows using wearable sensor data and machine learning. <b><i>Methods:</i></b> Biometric swallowing and respiration signals from wearable, mechano-acoustic sensors were compared between patients with poststroke dysphagia and nondysphagic controls while swallowing foods and liquids of different consistencies, in accordance with the Mann Assessment of Swallowing Ability (MASA). Two machine learning approaches were developed to (1) classify the severity of impairment for each swallow, with model confidence ratings for transparent clinical decision support, and (2) compute a similarity measure of each swallow to nondysphagic performance. Task-specific models were trained using swallow kinematics and respiratory features from 505 swallows (321 from patients and 184 from controls). <b><i>Results:</i></b> These models provide sensitive metrics to gauge impairment on a per-swallow basis. Both approaches demonstrate intrasubject swallow variability and patient-specific changes which were not captured by the MASA alone. Sensor measures encoding respiratory-swallow coordination were important features relating to dysphagia presence and severity. Puree swallows exhibited greater differences from controls than saliva swallows or liquid sips (<i>p</i> &lt; 0.037). <b><i>Discussion:</i></b> Developing interpretable tools is critical to optimize the clinical utility of novel, sensor-based measurement techniques. The proof-of-concept models proposed here provide concrete, communicable evidence to track dysphagia recovery over time. With refined training schemes and real-world validation, these tools can be deployed to automatically measure and monitor swallowing in the clinic and community for patients across the impairment spectrum.
DOI: 10.6084/m9.figshare.3527993.v1
title: Appendix A. A table summarizing the associations and findings for all 254 avian species considered in the analysis.

description: A table summarizing the associations and findings for all 254 avian species considered in the analysis.
DOI: 10.17632/m9c8wtwrw7
title: Exploring Space and Place Concepts Through Poems: A Systematic Literature Review

description: Spatial Analysis of Selected Articles and Published by Year

The spatial analysis shows large variations in article contributions among countries, underscoring local variations in research activity. European nations lead in contributions, with the Czech Republic and the Netherlands each producing five (5) articles, followed by Spain with three (3). Other European countries, including the United Kingdom and Switzerland, contribute slightly, with one (1) article each. Non-European nations display comparatively diminished representation, with India providing two (2) articles, while Australia and the United States each contribute one (1). Research outputs are mainly concentrated in Europe, whereas contributions from the Southern Hemisphere (Australia) and South Asia (India) are minimal. North America, exclusively represented by the United States, demonstrates limited representation in this dataset. This uneven distribution highlights regional research dynamics and potential gaps in access, focus, or selection within the analysed dataset.

Thematic Analysis

A comprehensive analysis of the 20 articles highlighted four distinct thematic dimensions essential to the exploration of space and place concepts in poetry. Themes include: cosmic exploration, which covers imaginative and symbolic interactions with the universe and space phenomena; cultural identity, emphasising the way poetic expressions explain and preserve individual and collective identities within cultural contexts; memory and reflection, which highlights poetry's role in evoking personal and historical narratives associated with specific spaces; and environmental interaction, centering on the poetic depiction of human relationships with natural and established environments. These themes collectively offer an advanced framework for understanding how poetry functions as a medium to conceptualize and examine space and place.
DOI: 10.4121/21674780.v1
title: Shearography data for deep defect detection and characterization in thick GFRP laminates

description: Thick composite materials, e.g. thickness of more than 50 mm, are increasingly used in a wide variety of industries including aerospace and marine sectors. Nevertheless, defect detection and characterization in these materials remain an appealing challenge. The objective of this research aims at improving deep defect characterization in thick composites with shearography. the raw data (phase-shifted speckle interferograms) are available with the metadata to reproduce the experimental results. Additional interactive videos with the variation of the phase induced by the defects are generated in the dataset