cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2khchjbgzr
title: Clouds-1500

description: The Clouds-1500 dataset is an extension of original clouds-1000 dataset, which can be accessed through this link: https://data.mendeley.com/datasets/4pw8vfsnpx. It comprises a collection of sky images taken between March 2021 and Janary 2023. The images were captured by ground-based cameras pointed towards the horizon, in the north and south directions, at the facilities of the Federal University of Santa Catarina and in the solarimetric station of the Photovoltaic Energy Laboratory, located in the Sapiens Technological Park. This dataset is part of the Machine Learning Methods Project for Nowcasting for Solar Energy, conducted by the Laboratory of Image Processing and Computer Graphics - LAPIX of the National Institute of Digital Convergence - INCoD. The image annotation process was carried out manually by a team comprising computer scientists, meteorologists, and an experienced sky observer from the Brazilian Air Force Base on Santa Catarina Island. Annotations were made using the polygon tool on the Supervisely platform to mark the clouds visible in each image. This dataset is created to help machine learning algorithms identify clouds in images taken from ground-level locations using ordinary cameras. It employs a practical cloud height-based classification system that categorizes clouds into four groups: Cirriforms, Cumuliforms, Stratiforms, and Stratocumuliforms. Additionally, a category representing background objects like trees and buildings is included in the annotations. This classification system is aimed at enhancing nowcasting in the solar energy sector by predicting the potential solar radiation absorption by clouds covering solar energy facilities. The decision to categorize clouds into these four groups stems from the need to efficiently forecast solar radiation interference and because earlier attempts at finer classification led to inadequate learning outcomes with neural networks. This subpar performance is likely due to the inherent similarities among actual cloud classes within each superclass and the vague and transparent characteristics of clouds, making precise classification challenging and yielding poor results. The dataset underwent several validation steps to ensure its quality and reliability. Initially, three team members inspected and checked a randomly chosen subset of images for annotation consistency, assessing the quality of manual annotations. In a second semi-automated step, the dataset was split into training and validation sets. A semantic segmentation convolutional neural network (PPLite B2) was trained on it, and used to pinpoint the 100 images with the lowest classification scores. A meteorologist from the team then manually reviewed and corrected these images, as they were the most likely to contain annotation errors. This procedure helped to detect and amend any remaining errors or issues, enhancing the overall quality and reliability of the dataset.
DOI: 10.17632/3gsdt5t9pz
title: Seasonal variation in lifestyle behavior in Poland: Google searches and market sales analysis

description: Details about data is presented in the article "Seasonal variation in lifestyle behavior in Poland: Google searches and market sales analysis" published in BMC Public Health
DOI: 10.6084/m9.figshare.1209572.v1
title: Des formes éditoriales composites : les revues françaises de chimie

description: Données sur un corpus de revues françaises de chimie entre 1800 et 2010. Ces données sont exploitées dans le cadre de l'étude menée sur les revues en tant que "support matériel regroupant dans un « pot commun » une grande variété d’informations, transférées au fil du temps vers des plateformes numériques". Article DOI : 10.1007/s11873-014-0254-y
DOI: 10.6084/m9.figshare.28746431.v1
title: FTIR data for S1, S3 and S4

description: For the FTIR analysis, sample preparation involved fine grinding of the sample and potassium bromide (KBr) to reduce the particle size. The sample and KBr powder were mixed in a 100:1 ratio by weight and ground in an agate mortar to achieve a homogeneous mixture. This mixture was placed in a pellet die and subjected to a hydraulic press at around 8 tons of pressure to form a transparent KBr pellet.The FTIR spectrometer, equipped with an interferometer, beam splitter, and detector, was then used to analyze the sample. Infrared radiation was passed through the sample and the resulting spectrum was obtained by detecting the light that was not absorbed by the sample. This raw data, or interferogram, was processed using a Fourier transform to convert it into a usable spectrum. The final spectrum was analyzed to identify chemical bonds and molecular structures based on characteristic absorption peaks.
DOI: 10.6084/m9.figshare.3561024.v1
title: Appendix C. Results obtained from other classifications of bird sensitivity to human disturbances, based on Stotz et al. 1996.

description: Results obtained from other classifications of bird sensitivity to human disturbances, based on Stotz et al. 1996.
DOI: 10.17632/3fmh5vy9kr
title: Produksi Briket Arang Tempurung Kelapa Sebagai Bahan Bakar Alternatif

description: Ciri khas metode pirolisis meliputi penentuan bahan baku berupa tempurung dari kelapa varietas dalam, bahan perekat berupa tepung sisa pengolahan ubi kayu, bahan bakar berupa serbuk gergaji, sabut kelapa dan sisa-sisa pemotongan kayu, produksi briket berupa rasio arang dengan perekat 9:1, model briket berbentuk silinder dengan massa 100 gram dan beban penekan pencentak 2 ton. Sehingga, secara keseluruhan proses dilakukan dengan melibatkan limbah dan produksi arang dilakukan dengan tidak mengontakkan langsung tempurung dengan sumber api yang menyebabkan konversi produk briket dari tempurung mencapai 75% dengan nilai kalori briket dapat mencapai 7.000 kalori/g, kandungan abu dan air dibawah 2%, senyawa yang mudah menguap dibawah 9%, karbon aktif diatas 70% dan kandungan sulfur yang sangat kecil, sehingga pemanfaatannya tidak hanya sebagai bahan bakar pada industri rumah tangga, tetapi juga industri besar seperti industri pembangkit listrik tenaga uap (PLTU), dan industri pemurnian logam.
DOI: 10.17632/dfyvhrh4cd
title: SpinalJ_example_data_raw(3/6)

description: Example dataset of mouse spinal cord sections for processing, reconstruction and atlas registration using SpinalJ (Fiederling et al., 2021; ; https://www.biorxiv.org/content/10.1101/2021.05.06.443008v1). Files include part 3 of raw image data used to generate data provided in SpinalJ_example_dataset_processed.
DOI: 10.6084/m9.figshare.21823377.v1
title: All supplemental tables

description: all the supplemental tables for the manuscript
DOI: 10.6084/m9.figshare.29083952.v1
title: Time as an Emergent Property of Entropy

description: Here is a draft description designed to be scientifically informative and engaging for researchers in relevant fields:This paper introduces the Unified Time Theory (UTT), a novel framework proposing time as an emergent property fundamentally linked to the universe's increasing entropy. The UTT offers a potential resolution to the long-standing problem of time in quantum gravity and presents a path towards unifying General Relativity and Quantum Mechanics.The core of the theory is captured in a central equation that accurately predicts the cosmic timeline from the Planck epoch to the present, demonstrating a strong fit (χ2=1.18±0.12) with 30 data points from key cosmological datasets including Planck 2018, SHOES, DESI BAO, and cosmic chronometers. UTT successfully addresses the Hubble tension, yielding a predicted H0​=(73.0±0.5) kms−1, and provides theoretically grounded mechanisms for the cosmological constant and baryon asymmetry.Leveraging principles from Loop Quantum Gravity and holographic concepts, the theory derives time from quantum state transitions. The paper outlines falsifiable predictions, such as specific CMB entropy correlations and modifications to black hole time dilation, which are testable with upcoming experiments like CMB-S4.This entropy-driven perspective offers a transformative paradigm for understanding fundamental physics and cosmology. Dive into this paper to explore a new view on the nature of time and its implications for the universe.
DOI: 10.6084/m9.figshare.768422.v1
title: Greatest longitudinal length (cm) for seeds collected with and without ants and those eaten by Cacajao and collected directly under trees with no ants

description: The data set shows lengths (mm) of Macrolobium fruits collected from trees that had, and which did not have, colonies of Pseudomyrmex ants. Measurements for fruits collected beneath trees with no ants are provided (there were too few under trees with ants for statistical analysis and these are therefore not included in the data set)
DOI: 10.6084/m9.figshare.21677279.v1
title: Main_dataset_Harrison.rar

description: This dataset corresponds to data which have been extracted from the 60W MSX-60 solar panel model. The model of the PV was obtained using particle swarm optimisation. The accuacy of the model is exellent and attractive as it was benchmarked by experiemal curves provided by the manufacturer. Precisely, the datasheet contain 27x399 data points corresponding to some variables such as Temperature, Irradiance, Maximum power voltage, maximum power current, open circuit voltage, short circuit current and many others. <br> This data was generated for the design and implementation of a solar Phtotovoltaic Emulator (PVE). <br> The authors recommend that the prescribed data offers a broad spectrum for solar panel research, such as MPPT, PV performance studies and many more. <br> Finally the data should be used the caution that it applies to the PV panel under uniform environmental conditions <strong>only.</strong> <br> <br>
DOI: 10.17632/ykd3kv453d
title: Seasonal variability of carbonate chemistry in the Sansha Bay, Fujian, China

description: This dataset describes the seasonal variability of carbonate chemistry in the Sansha Bay in autumn 2022, spring 2024, and winter 2024. The dataset includes cruise ID, sampling year, station, longitude, latitude, depth, temperature, salinity, dissolved inorganic carbon, total alkalinity, dissolved oxygen, stable carbon isotopic , pCO2 and calculated pH.
DOI: 10.6084/m9.figshare.12783620.v1
title: COVID19 generation database 2020.sav

description: Psychological predictor analysis on COVID-19 prevention behavior across 4 generations. Female sample.
DOI: 10.6084/m9.figshare.26888146.v2
title: Ancient and contemporary intertidal shellfish surveys: bivalve data, abiotic conditions, and habitat complexity models

description: Data and code from multiple bivalve surveys of 24 First Nations clam gardens, shellfish aquaculture farms, and non-walled or unmodified beaches along the west coast of Canada.
DOI: 10.6084/m9.figshare.8019986.v4
title: Genome assembly of Leptobrachium leishanense

description: This is the annotation files for the genome assembly of <i>Leptobrachium leishanense. </i>The assembled genome has been deposited in NCBI database under accession RXON00000000. The current version is RXON01000000.
DOI: 10.17632/78n3p3hmmr
title: Comprehensive Dataset on Determinants of Citation Visibility in Peer-Reviewed Journals

description: This dataset compiles comprehensive bibliometric data from the Revista Cubana de Educación Médica Superior, covering publications indexed in Scopus from 1996 to 2024. It was designed to explore determinants of citation visibility in scientific literature. The dataset includes variables such as publication year, author names, gender estimation, institutional affiliation, country of origin, total citations, and thematic classifications.
The dataset supports a variety of analytical approaches implemented in R, including data diagnostics (dlookr), temporal publication trends, author productivity and citation impact, gender distribution by authorship position, topic-level citation analysis, and geographic patterns of scientific production. It enables graphical representation of bibliometric indicators and facilitates the generation of automated reports, interactive visualizations, and exportable outputs (e.g., Word documents with flextable and officer).
This resource is valuable for researchers in bibliometrics, scholarly communication, and science evaluation, particularly those analyzing trends in Latin American academic publishing and citation behavior.
DOI: 10.6084/m9.figshare.22345240.v1
title: Untitled Item

description: Files Pixel-level annotated dataset of computed tomography images of acute pulmonary embolism
DOI: 10.6084/m9.figshare.28680872.v1
title: Data for 'Biodiversity monitoring for biocredits: a case study comparing acoustic, eDNA, and traditional methods'

description: New environmental policy reforms and a growing demand for nature repair products such as biodiversity credits have increased the need for low-cost, scalable and reliable biodiversity monitoring techniques. We compare the financial costs, time commitments, and data outputs of various biodiversity survey methods using a case study in a temperate agricultural landscape in southeast Australia. We conducted in-person aural and visual surveys, camera trapping, eDNA sampling, and automated species detection from passive acoustic monitoring (PAM). All techniques exhibited relative strengths and weaknesses. PAM was limited to vocalising taxa with developed detection models (i.e., birds and amphibians), yet they recorded ~70 times more detections than other techniques, detecting over ten more species per site on average than any other method. It also had the lowest cost per species over five or more repeat campaigns. In-person surveys produced intermediate detection levels across most taxa, but they were the most time-consuming method. eDNA sampling was the quickest method and was the only one to account for invertebrate species, yet the costs grew rapidly with multiple campaigns. We provide a decision-support tool to help conservation managers select the most suitable techniques for biodiversity monitoring. Our data shows that modern methods such as eDNA and PAM can provide cost- and time-effective solutions to monitor most taxa. To support a growing market and promote high-quality biocredit schemes, future efforts must prioritize reducing monitoring costs and improving the detection efficiency of technological solutions across a broader range of taxa.
DOI: 10.17632/wpr3n7f4rf
title: Plant leaf images segmentation through multi-layer graph diffusion process.

description: We demonstrate the outcomes of our graph-based diffusion method that employs random walk with restart on a multi-layered graph using the publicly available Pl@ntleaves (H. Go¨eau, P. Bonnet, A. Joly, N. Boujemaa, D. Barth´el´emy, J.-F. Molino, P. Birnbaum, E. Mouysset, M. Picard, The clef 2011 plant images classification task, Vol. 1177, 2011.) dataset. This dataset consists of 233 high-resolution leaf images captured in their natural surroundings. The images present various challenges for segmentation, including shadows, varying lighting conditions, and overlapping leaves. Our algorithm focuses on leaf portions by spreading intensity scores from foreground templates to image boundaries. By applying a threshold to the saliency maps generated through the diffusion process, we obtain binary masks that separate the leaves from the backgrounds. Ground truth images are provided to visually assess the effectiveness of our algorithm's performance.
Folders description:
* JPEGimages: Leaf color images.
* masks: The ground truth binary masks that accurately delineat the leaf regions.
* foreground_template:  contains the bounding boxes that localize the leaves in blue and the foreground templates in red drawn on dataset images.
* saliency_maps:  contains saliency maps obtained by diffusing foreground queries within a multi-layer graph.
* segmentation_results : contains the segmentation results obtained after thresholding the saliency maps.
*MLG_Segmentation_results: a compressed folder containing the above folders.
DOI: 10.23641/asha.24422635.v1
title: Children’s and adults’ production of <i>when</i>-clauses (Zhang et al., 2023)

description: <b>Purpose:</b> This is the first study to investigate the combined effects of processing-based factors (i.e., clause length and clause order) and discourse-pragmatic factors (i.e., information structure) on children’s and adults’ production of adverbial <i>when</i>-clauses.<b>Method:</b> In a sentence repetition task, 16 three-year-old and 16 five-year-old children as well as 17 adults listened to and watched an animated story and then were asked to repeat what they had just heard and seen. Each story contained an adverbial <i>when</i>-clause and its main clause. The sentences were manipulated for their clause order, information structure, and clause length.<b>Results:</b> Adults tended to change main–<i>when</i> clause orders to <i>when</i>–main in their repetitions, and they showed a strong preference for the given–new order of information. In contrast, 3-year-olds tended to change <i>when</i>–main clause orders to main–<i>when</i>, and they showed a preference for the new–given order of information. In addition, 3-year-olds tended to produce short–long clause orders irrespective of what they had heard, whereas adults produced both short–long and long–short orders in line with the input. In general, 5-year-olds were more adultlike in their production compared to 3-year-olds.<b>Conclusions:</b> Young children were strongly affected by processing-based factors in their production of complex sentences. They tended to order main and <i>when</i>-clauses in a way that requires less planning and processing load. However, they have not yet attained an adultlike sensitivity to discourse-pragmatic factors.<b>Supplemental Material S1.</b> Test sentences for the sentence repetition task.<b>Supplemental Material S2.</b> Significant effects and interactions in the final model of the factors influencing participants’ changes of clause length (in syllables).<b>Supplemental Material S3</b><b>. </b>Pairwise comparisons of the effect of input clause order on each age group’s changes of clause order.<b>Supplemental Material S4. </b>Pairwise comparisons of the effect of input information order on each age group’s changes of information order.<b>Supplemental Material S5. </b>Pairwise comparisons of the effects of input clause length and input information order on each age group’s changes of clause length (in words).Zhang, S., Junge, B., Lieven, E., Brandt, S., & Theakston, A. (2023). The competition between processing and discourse-pragmatic factors in children’s and adults’ production of adverbial <i>when</i>-clauses. <i>Journal of Speech, Language, and Hearing Research</i>. Advance online publication. https://doi.org/10.1044/2023_JSLHR-23-00238
DOI: 10.6084/m9.figshare.28279856.v1
title: Supplementary Material for: Validation of a New Classification for Severe Bronchopulmonary Dysplasia in Extremely Preterm Infants: Insights from a Large Japanese Cohort

description: Introduction: A recent scoping review identified histological chorioamnionitis (HCA), small for gestational age (SGA), and bubbly/cystic appearance on chest X-ray (bubbly/cystic CXR) as risk factors for severe bronchopulmonary dysplasia (BPD). To further validate these results, a large-scale database was analyzed.
Methods: This retrospective multicenter cohort study included infants born at &lt;28 weeks' gestational age between 2003 and 2016. The validated risk factors identified from the scoping review were analyzed for independent associations with severe BPD using multivariable logistic regression. Additionally, the association of these factors with long-term outcomes at 3 years, including home oxygen therapy (HOT) and neurodevelopmental impairments (NDIs), were analyzed.
Results: Among 15,834 extremely preterm infants, HCA, SGA, and bubbly/cystic CXR on postnatal day 28 were significantly and independently associated with severe BPD (adjusted odds ratio, 1.20; 95% confidence interval, 1.06–1.36) (1.73; 1.51–1.98) (1.79; 1.60–2.01), respectively. These three factors were also linked to HOT at 3 years (1.54; 1.14–2.08) (1.70; 1.21–2.39) (2.63; 1.94–3.56), respectively. Their combination significantly increased the prevalence of severe BPD and HOT at 3 years, particularly with bubbly/cystic CXR. Only SGA was independently associated with NDIs in BPD infants (1.55; 1.32–1.83).
Conclusions: HCA, SGA, and bubbly/cystic CXR on postnatal day 28 were identified as important risk factors for severe BPD and long-term respiratory outcomes. While further research is needed to validate their role in endotype-specific classification of BPD, these findings may contribute to early prognostic strategies and targeted interventions before 36 weeks' postmenstrual age.
DOI: 10.6084/m9.figshare.5203408.v1
title: GRID release 2017-07-12

description: A database of over 76,000 research institutes with persistent identifiers.<br><br>New institutes added from:<br>- Grant data from the USA, UK and Switzerland- Worldwide data from other sources<br>QA:- Increased coverage of CrossRef Open Funder Registry ID - Metadata and relationship review of US Departments and Federal Agencies - Metadata and relationship review of WHO - Metadata and relationship review of HE organisations in Russia - Resolved duplicate institutes<br>Note: the geonames information is from geonames.org and licensed as CC-BY 3.0.
DOI: 10.6084/m9.figshare.6818741.v1
title: Experiment 5F-SubjectE-160415-5St-SGLHand-HFREQ

description: Experiment in which subject performed motor imagery of a single hand's 5 finger motions, recorded using higher sampling rate setting of 1000 Hz.
DOI: 10.17632/r37922phfd
title: perinatal stress, anxiety, depression

description: Perinatal stress, anxiety, and depression impact not only women but also their child(ren). The purpose of this longitudinal study is to explore trends of stress, anxiety, and depressive symptoms from pregnancy to postpartum and understand predictions of stress and anxiety on post-partum depression. One-hundred-fifty-six women at 23-28 weeks gestation (T1), 147 at 32-36 weeks gestation (T2), 129 at over 36 weeks gestation (T3), and 83 at postpartum (T4) completed study surveys. The Perceived Stress Scale, Center for Epidemiologic Studies Depression scale, and State-Trait Anxiety Inventory were used to measure stress, depressive symptoms, and anxiety. STAI-S at T1 and T2, STAI-T at T1 and T4, and CESD at T2 and T4 had one missing value. The expectation-maximization (EM) algorithm was used to manage missing values.
DOI: 10.6084/m9.figshare.21432108.v1
title: Gas chromatography and mass spectrometry.xls

description: Gas chromatography and mass spectrometry
DOI: 10.17632/98pmyyz67m
title: The Effect of Subcutaneous Brodalumab upon Clinical Disease Activity in Hidradenitis Suppurativa: An Open Label Cohort Study

description: Supplementary Material
DOI: 10.17632/x5t6htsg9p
title: Interactions of Framing and Timing in Nudging Online Game Security

description: (1) The experimental conditions were framing and timing.
(2) The outcome of participants' security decision-making was measured in terms of a binary choice on whether to set a game password, password guesses, and the time spent on the security warnings.