cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/v2bwh7z8kj
title: Semantic Similarity with Concept Senses: new Experiment

description: This dataset represents the results of the experimentation of a method for evaluating semantic similarity between concepts in a taxonomy.
The method is based on the information-theoretic approach and allows senses of concepts in a given context to be considered.
Relevance of senses is calculated in terms of semantic relatedness with the compared concepts.
In a previous work [9], the adopted semantic relatedness method was the one described in [10], while in this work we also adopted the ones described in [11], [12], [13], [14], [15], and [16]. 

We applied our proposal by extending 7 methods for computing semantic similarity in a taxonomy, selected from the literature.
The methods considered in the experiment are referred to as R[2], W&P[3], L[4], J&C[5], P&S[6], A[7], and A&M[8]

The experiment was run on the well-known Miller and Charles benchmark dataset [1] for assessing semantic similarity.

The results are organized in seven folders, each with the results related to one of the above semantic relatedness methods.
In each folder there is a set of files, each referring to one pair of the Miller and Charles dataset. In fact, for each pair of concepts, all the 28 pairs are considered as possible different contexts. 

REFERENCES
[1] Miller G.A., Charles W.G. 1991. Contextual correlates of semantic similarity. Language and Cognitive Processes 6(1).
[2] Resnik P. 1995. Using Information Content to Evaluate Semantic Similarity in a Taxonomy. Int. Joint Conf. on Artificial Intelligence, Montreal.
[3] Wu Z., Palmer M. 1994. Verb semantics and lexical selection. 32nd Annual Meeting of the Associations for Computational Linguistics.
[4] Lin D. 1998. An Information-Theoretic Definition of Similarity. Int. Conf. on Machine Learning.
[5] Jiang J.J., Conrath D.W. 1997. Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy. Inter. Conf. Research on Computational Linguistics.
[6] Pirrò G. 2009. A Semantic Similarity Metric Combining Features and Intrinsic Information Content. Data Knowl. Eng, 68(11).
[7] Adhikari A., Dutta B., Dutta A., Mondal D., Singh S. 2018. An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. J. Assoc. Inf. Sci. Technol. 69(8).
[8] Adhikari A., Singh S., Mondal D., Dutta B., Dutta A. 2016. A Novel Information Theoretic Framework for Finding Semantic Similarity in WordNet.  CoRR, arXiv:1607.05422, abs/1607.05422.
[9] Formica A., Taglino F. 2021. An Enriched Information-Theoretic Definition of Semantic Similarity in a Taxonomy. IEEE Access, vol. 9.
[10] Information Content-based approach [Schuhmacher and Ponzetto, 2014]. 
[11] Linked Data Semantic Distance (LDSD) [Passant, 2010]. 
[12] Wikipedia Link-based Measure (WLM ) [Witten and Milne, 2008];
[13] Linked Open Data Description Overlap-based approach (LODDO) [Zhou et al. 2012] 
[14] Exclusivity-based [Hulpuş et al 2015]
[15] ASRMP [El Vaigh et al. 2020]
[16] LDSDGN [Piao and Breslin, 2016]
DOI: 10.6084/m9.figshare.15169530.v1
title: GalaxyDB.zip

description: GalaxyDB dataset, which include the origianl drug-protein interaction data and calculated protein features.
DOI: 10.6084/m9.figshare.16621279.v1
title: COSMIC DATA

description: COSMIC data near the Hong Kong regionduring the period of TC Hato in 2017
DOI: 10.6084/m9.figshare.20087156.v1
title: Dynamic genetic architecture of plant height in maize

description: Plant height (PH) is an essential trait in maize (<em>Zea mays L.</em>) which is tightly associated with planting density, biomass, lodging resistance and grain yield in the field. Dissecting the dynamics of maize plant architecture will be beneficial for ideotype-based maize breeding and prediction, as the genetic basis controlling PH in maize remains largely unknown. Here, we developed an automated high-throughput phenotyping platform (HTP) to systematically and noninvasively quantify 77 image-based traits (i-traits) and 20 field traits (f-traits) for 228 maize inbred lines across all developmental stages. Time-resolved i-traits with novel digital phenotypes and complex correlations with agronomic traits were characterized to reveal the dynamics of maize growth. An i-trait-based genome-wide association study (GWAS) reveals 4272 unique trait-associated SNPs and 702 genetic loci. Interestingly, we found that rapid growth of maize plants mainly occurs at two developmental stages, Stage 2 (S2) to S3 and S5 to S6, accounting for the final PH indicators. Integrating the plant height-association network with the transcriptome profiles of specific internodes revealed 80 hub genes playing vital roles during the rapid growth. The candidate genes and novel i-traits identified at multiple growth stages might be used as potential indicators for final PH in maize. The function of one candidate gene, <em>ZmVATE</em>, was validated to regulate plant height-related traits in maize by using genetic mutation. Furthermore, prediction models for final plant height based on i-traits were made using machine learning, and the predictive performance were assessed in validation along developmental stages with a moderate, strong and very strong correlation between prediction and experimental dataset archived from early S4 stage. Our study provided a valuable tool for dissecting the spatiotemporal formation of specific internodes and the genetic architecture of PH as well as resources and prediction models useful for molecular design breeding and predicting maize varieties with ideal plant architecture.
DOI: 10.6084/m9.figshare.20097827.v1
title: Regionalización de la precipitación a escala de todo el Perú

description: Este estudio identificó regiones homogéneas de lluvia, a escala de todo el Peru, inicialmente se realizó análisis detallados de control de calidad, así como la verificación de los supuestos inherentes al análisis regional de frecuencia (homogeneidad, independencia serial y tendencia). Posteriormente, el análisis de clúster se aplicó a las características del sitio para identificar regiones candidatas; estas regiones fueron verificadas con las pruebas de discordancia y heterogeneidad del Método L Momentos. Entre los resultados, se identificó 32 regiones homogéneas de lluvia (16: RHP, 1: RHT y 15: RHA) sobre la base de 254 estaciones con récords históricos entre 1964 – 2020 provenientes de la red de observación del SENAMHI.
DOI: 10.6084/m9.figshare.23504019.v1
title: HMAP Dataset 15: Galapagos Marine Reserve, Ecuador III

description: Although commercial fishing activity commenced in Galapagos during the 1920s, it was not until 1997 that the systematic collection of fishing and biological data was initiated by the newly-founded Participatory Programme of Fisheries Monitoring and Research (PIMMP). Since then, the PIMPP has collected on a daily basis site-specific catches and effort data for the main fisheries of the GMR. Consequently, a large and complex amount of fishing related data has been generated. All this data was reviewed, standardized and edited by researchers of the CDF between March 2005 and December 2007. In addition, a range of primary source material was used to assemble pre-1997 data on the sea cucumber, spiny lobster and finfish fisheries.
DOI: 10.17632/p9zbvrhy76
title: Data to Accompany: Supra-Exponentiating US Trend-breaking Cannabinoid Driven Atrial Septal Defect Trajectories as Key Epidemiological Bellweather Indices of Widespread Cannabinoid Genotoxicity

description: Raw Data and analysis Code for the data to the paper
DOI: 10.6084/m9.figshare.19134224.v1
title: SVS (WSI)

description: Dicomized distinct proprietary files of microscope imaging modalities
DOI: 10.6084/m9.figshare.23762385.v2
title: Diatom data from 'Missing sea-level rise in southeast Greenland during and since the Little Ice Age', published in Climate of the Past, 2023.

description: The datasets are raw diatom counts (minimum 250 count size) from a transect across a modern saltmarsh at the mouth of Dronning Marie Dal in south east Greenland (63.470N, -41.925W), and from a fossil core taken from the high marsh environment within the same marsh. The data was collected on 19/07/2014 during a research cruise to the area as part of the X_Centuries research project funded by the Danish Council for Independent Research 30 (FNU) (grant no. DFF-0602-02526B). Modern samples were taken from the top 1 cm of saltmarsh sediment using a knife, bagged and shipped to the laboratory where they were prepared for diatom analysis using standard methods (Palmer and Abbott 1986). The core was taken using a spade to dig a shallow pit from which a sediment section was extracted, wrapped in plastic and transported to the laboratory. Diatom samples were taken from the sediment core in the laboratory at 0.25 and 0.5 cm intervals using a scalpel. Counts were taken under a light microscope at 400x magnification. Only unbroken valves were counted. The taxonomy follows Van der Werff and Huls (1958-74), Hartley (1996) and Patrick and Reimer (1966, 1975). Modern samples and the core-top elevation were surveyed in the field using a Sokkisha level to mean tide level, established via a pressure transducer that logged tidal variations at 15-min intervals at Timmiarmiut, 100 km to the South, during fieldwork. These tidal levels were related to tidal predictions at Tasiilaq, 300 km to the NE. This data was collected to develop a modern training set of diatom distributions across saltmarshes in Greenland and to reconstruct recent (past few hundred years) of relative sea-level changes from saltmarsh sediments in this area of Greenland. Hartley, B., 1996. An Atlas of British Diatoms. Biopress Limited, Bristol, UK, 601 pp. Palmer, A.J.M., Abbott,W.H.,1986. In: Van De Plassche, O. (Ed.), Diatoms as indicators of sea-level change. Sea-level Research. Geo Books, Norwich, pp. 457–487. Patrick, R., Reimer, C.W., 1966. The diatoms of the United States exclusive of Hawaii and Alaska. Monograph of the Academy of Natural Sciences of Philadelphia, 13, Vol. 1 601 pp. Patrick, R., Reimer, C.W., 1975. The diatoms of the United States exclusive of Hawaii and Alaska, Part 1. Monograph of the Academy of Natural Sciences of Philadelphia, 13, Vol. 2 213 pp. van der Werff, H., Huls, H., 1958-1974. Diatomeenflora van Nederland. Koeltz Scientific Books, Koenigstein.
DOI: 10.6084/m9.figshare.26013157.v1
title: A ballistocardiogram dataset with reference sensor signals in long-term natural sleep environments

description: This study created a publicly accessible dataset, using piezoelectric film sensors to record BCG vital signs of 32 participants, while also measuring reference sensor signals such as heart rate and respiration as references for the heartbeat and respiratory components of the BCG signal. In contrast to previous work, the experiments in this study were carried out in daily life scenarios rather than laboratory environments, and the monitoring was conducted over an extended period.This dataset supports the following publication:Li, YX., Huang, JL., Yao, XY. <i>et al.</i> A ballistocardiogram dataset with reference sensor signals in long-term natural sleep environments. <i>Sci Data</i> <b>11</b>, 1091 (2024). https://doi.org/10.1038/s41597-024-03950-5
DOI: 10.17632/32yd83ptxy
title: Data for: ICD-10-CM Extension with ICD-9 Diagnosis Codes to Support Integrated Access to Clinical Legacy Data

description: ICD-9 codes classification in each of the groups explained in the article
DOI: 10.6084/m9.figshare.25341502.v1
title: OS-BCD dataset(the first built-up change detection dataset contained both Bi-VHR optical and long-term SAR images)

description: OS-BCD: the first built-up change detection dataset contained both Bi-VHR optical and long-term SAR imagesPlease cite the article: https://doi.org/10.1080/17538947.2024.2316109
DOI: 10.6084/m9.figshare.28180772.v3
title: SYSUFAH TURBT 队列中患者的特征

description: SYSUFAH TURBT 队列中患者的特征
DOI: 10.6084/m9.figshare.4880318.v3
title: CAGE peaks expression (mm10 v3)

description: <pre>This folder contains CAGE peaks expression tables for the robust set of peaks. mm10.fair+new_CAGE_peaks_phase1and2_ann.txt.gz - CAGE peak based table with annotated peaks for mouse samples (fairly remapped) mm10.fair+new_CAGE_peaks_phase1and2_liftover_ann.txt.gz - CAGE peak based table with annotated peaks for mouse samples (all liftover) mm10.fair+new_CAGE_peaks_phase1and2_tpm.osc.txt.gz - CAGE peak based expression table (RLE normalized) for mouse samples [see edgeR documentation for further details about normalization method] mm10.fair+new_CAGE_peaks_phase1and2_counts.osc.txt.gz - CAGE peak based expression table for mouse samples mm10.fair+new_CAGE_peaks_phase1and2_tpm_ann.osc.txt.gz - CAGE peak based expression table (RLE normalized) for mouse with annotation mm10.fair+new_CAGE_peaks_phase1and2_counts_ann.osc.txt.gz - CAGE peak based expression table for mouse with annotation </pre>
DOI: 10.6084/m9.figshare.6198656.v1
title: Transcriptomic analysis of CA1 inhibitory interneurons

description: Here you find transcriptomic data of CA1 GABAergic neurons, together with analysis results described in the paper "Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics" by Kenneth D. Harris, Hannah Hochgerner, Nathan G. Skene, Lorenza Magno, Linda Katona, Carolina Bengtsson Gonzales, Peter Lonnerberg, Peter Somogyi, Nicoletta Kessaris, Sten Linnarsson, and Jens Hjerling-Leffler (https://www.biorxiv.org/content/early/2018/04/18/143354)<br>The file CA1Interneurons.mat contains all data in a MATLAB structure; a suite of MATLAB functions for plotting and processing this data can be found at https://github.com/cortex-lab/Transcriptomics.<br>The remaining files contain the same data in tab separated text format. <br>The file expression.tsv contains the UMI gene counts. Each column in the file corresponds to a cell. The first row contains the "cell name" - an actual name randomly assigned to each cell from a list of baby names released by the US census bureau. This name serves as a human-memorable unique identifier for each cell. Each row after that lists the expression of all genes in the cells, with the gene name in the first column.<br>The file analysis_results.tsv contains the results of ProMMT cluster analysis, nbtSNE, and latent factor analysis (described in the manuscript) in a similar format.<br>The file cell_metadata.tsv contains miscellaneous information from the sequencing pipeline again in the same format.<br>The file latent_weights.tsv contains the gene weights coming from the latent factor analysis, in a similar format but now with a column for each gene that entered into this analysis (which is not all of them) <br>For more files, including the raw sequencing data, please go to https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE99888<br>For questions or correspondence please email kenneth.harris@ucl.ac.uk<br>
DOI: 10.17632/v6k2vh2hfj
title: A Dissection of the Inter-Model Spread of the Aerosol Direct Radiative Effect in CMIP6 Models

description: This dataset contains the necessary code and processed data for paper: Yu, Q., & Huang, Y. (2023). A dissection of the inter-model spread
of the aerosol direct radiative effect in CMIP6 models. Geophysical Research Letters, 50, e2023GL105112. https://doi. org/10.1029/2023GL105112). 

The data include the following data: 
1) The sensitivity of Aerosol Direct Radiative Effect (ADRE) to key predictors (e.g. scattering aerosol optical depth) trained by regression model based on selected CMIP6 model.
2) The predicted ADRE and its predictor field. This enables readers to build the regression model.
3) The decomposition results from ADRE intermodel spread for selected models.
4) Codes and data to reproduce figures in the paper.
DOI: 10.26188/5cd91d0d3adaa
title: Public benchmark dataset for Conformance Checking in Process Mining

description: This dataset contains a variety of publicly available real-life event logs. We derived two types of Petri nets for each event log with two state-of-the-art process miners : Inductive Miner (IM) and Split Miner (SM). Each event log-Petri net pair is intended for evaluating the scalability of existing conformance checking techniques.We used this data-set to evaluate the scalability of the S-Component approach for measuring fitness. The dataset contains tables of descriptive statistics of both process models and event logs. In addition, this dataset includes the results in terms of time performance measured in milliseconds for several approaches for both multi-threaded and single-threaded executions. Last, the dataset contains a cost-comparison of different approaches and reports on the degree of over-approximation of the S-Components approach. The description of the compared conformance checking techniques can be found here: https://arxiv.org/abs/1910.09767. <br><br>Update:The dataset has been extended with the event logs of the BPIC18 and BPIC19 logs. BPIC19 is actually a collection of four different processes and thus was split into four event logs. For each of the additional five event logs, again, two process models have been mined with inductive and split miner. We used the extended dataset to test the scalability of our tandem repeats approach for measuring fitness. The dataset now contains updated tables of log and model statistics as well as tables of the conducted experiments measuring execution time and raw fitness cost of various fitness approaches. The description of the compared conformance checking techniques can be found here: https://arxiv.org/abs/2004.01781.<br>Update: <br>The dataset has also been used to measure the scalability of a new Generalization measure based on concurrent and repetitive patterns. : A concurrency oracle is used in tandem with partial orders to identify concurrent patterns in the log that are tested against parallel blocks in the process model. Tandem repeats are used with various trace reduction and extensions to define repetitive patterns in the log that are tested against loops in the process model. Each pattern is assigned a partial fulfillment. The generalization is then the average of pattern fulfillments weighted by the trace counts for which the patterns have been observed. The dataset no includes the time results and a breakdown of Generalization values for the dataset.<br> <br>
DOI: 10.6084/m9.figshare.11604135.v1
title: Supplementary Material for: A 2018 European Thyroid Association Survey on the Use of Selenium Supplementation in Hashimoto’s Thyroiditis

description: <b><i>Objective:</i></b> To investigate clinical practice regarding the use of selenium supplementation in patients with Hashimoto’s thyroiditis (HT) among members of the European Thyroid Association (ETA). <b><i>Methods:</i></b> ETA members were invited to participate in an online survey investigating the use of selenium supplementation across the spectrum of benign thyroid diseases. Of 872 invited members, 242 (28%) completed the survey. After exclusion of basic scientists and non-European members, survey data from 212 respondents were eligible for further analyses. Responses from 65 (31%) individuals who did not at all recommend selenium, or only considered its use in the setting of a clinical trial, were not included in the final analysis of survey data from 147 respondents. ­<b><i>Results:</i></b> While only a minority of respondents (29 of 147, 20%) stated that the available evidence warrants the use of Se in patients with HT, a statistically significant majority (95 of 147; 65%, <i>p</i> &lt; 0.001) used Se occasionally or routinely. Se was predominantly recommended for patients with HT not receiving LT4 (102 of 147; 69%) to reduce circulating thyroid autoantibody levels. Very few respondents routinely recommended Se to pregnant patients with HT. <b><i>Conclusions:</i></b> A minority of responding ETA members stated that the available evidence warrants the use of Se in HT, but a majority recommended it to some extent, especially to patients not yet receiving LT4. This is questionable, and selenium is not recommended to patients with HT according to current ETA guidelines. Ongoing and future trials may lead to the reversal of current medical practice.
DOI: 10.6084/m9.figshare.24623964.v2
title: COVID-19 Taiwan data, including individual course of disease

description: This dataset encompasses information on 579 confirmed COVID-19 cases in Taiwan, spanning from January 21 to November 9, 2020. The dataset includes various features such as travel history, age, gender, onset of symptoms, confirmed date, symptoms, critically ill date, recovered date, death date, and details on contact types between cases.In addition to individual case data, supplementary daily summary information is provided, sourced from the Taiwan CDC and covering the period from January 21, 2020, to May 23, 2022. This supplementary dataset furnishes population-level insights into the progression of the COVID-19 pandemic in Taiwan.<b>Data Fields:</b>Travel HistoryAgeGenderOnset of SymptomsConfirmed DateSymptomsCritically Ill DateRecovered DateDeath DateContact Types Between Cases<b>Temporal Coverage:</b>Individual Case Data: January 21, 2020, to November 9, 2020Daily Summary Data: January 21, 2020, to May 23, 2022<b>Source:</b>Taiwan Centers for Disease Control press release (CDC press release)United Daily News (COVID-19 Visualization)Taiwan CDC Open Data Portal, Regents of the National Center for High-performance Computing (COVID-19 Dashboard)Taiwan Centers for Disease Control open data portal (CDC open data portal)Taiwan Centers for Disease Control press conference (CDC press conference)<br>
DOI: 10.6084/m9.figshare.25442008.v1
title: data for teacher burnout.sav

description: This is a survey on the mental health of the teaching profession.
DOI: 10.6084/m9.figshare.25867006.v1
title: Class-smell dataset

description: Class-smell is a multi-label source code metric dataset. It is helpful to build machine learning models to detect code-smell based on multi-label classification methods.
DOI: 10.6084/m9.figshare.7699418.v1
title: Syntheses, characterization and crystal structures of Schiff base nickel(II) complexes with antibacterial activity

description: Two nickel(II) complexes, [NiL<sup>1</sup>N<sub>3</sub>] (<b>1</b>) and [Ni(HL<sup>2</sup>)<sub>2</sub>(NCS)<sub>2</sub>)] (<b>2</b>), where L<sup>1</sup> = 2-[(2-diethylaminoethylimino)methyl]-4,6-difluorophenolate, L<sup>2</sup> = 2,4-difluoro-6-[(2-isopropylaminoethylimino)methyl]phenolate, have been prepared and structurally characterized by elemental analyses, IR and UV-Vis spectra, as well as single crystal X-ray determination. In complex <b>1</b>, the Ni atom is in square planar coordination, with three donor atoms of the deprotonated Schiff base ligand L<sup>1</sup> and the azido N atom. In complex <b>2</b>, the Ni atom is in octahedral coordination, with the three donor atoms of the zwitterionic Schiff base ligand HL<sup>2</sup> and two thiocyanato N atoms. The crystals are stabilized by hydrogen bonds. The complexes have strong antibacterial activity against <i>B. subtilis</i>, <i>S. aureus</i> and <i>E. coli</i>.
DOI: 10.17632/5y8dzgpg9j
title: Raw data for 3D Printing Reinforced Concrete Beams and Performance Evaluation

description: This is the raw dataset for manuscript entitled 'A Novel In-Process Rebar Integration Method for 3D Printing Reinforced Concrete Beams and Performance Evaluation'.
DOI: 10.17632/g3yv4ztvd9
title: Natural_Halogens_Tropospheric_Ozone_Pre-Industrial_Present-Day

description: For detailed information on these model outputs, please contact PhD. Javier A. Barrera (javier.barrera@unc.edu.ar). Scientific Institutions: Institute of Physical Chemistry Rocasolano, CSIC, Spain; Atmospheric Chemistry Observations and Modelling, National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA; Research Institute for Physical Chemistry of Cordoba (INFIQC-CONICET), Córdoba, Argentina
DOI: 10.17632/h7g3n7njgb
title: FDI, Financial Development and Economic Growth in Nigeria

description: This is data set on FDI, Financial development indicators and economic growth for Nigeria