cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/k33fka
title: Occurrence data Aerodramus francicus, Mascarene Islands 2015-2021

description: This dataset contains the occurence data of Aerodramus swiftlet colonies including nest counts on the Mascarene Islands, collected from 2015 to 2021. The exact locations (names and coordinates) are masked to protect an endangered species and are available upon request. Please see, Wijnhorst et al. 2023 Phylogeny and conservation status of the Mascarene Aerodramus swiftlets. Ardea for a detailed description on data collection and estimation of population abundance.
DOI: 10.6084/m9.figshare.25256290
title: QBLink-KG: QBLink Adapted to DBpedia Knowledge Graph

description: QBLink-KG is a modified version of QBLink, which is a high-quality benchmark for evaluating conversational understanding of Wikipedia content.QBLink consists of sequences of up to three hand-crafted queries, with responses being single-named entities that match the titles of Wikipedia articles.For the QBLink-KG, the English subset of the DBpedia snapshot from September 2021 was used as the target Knowledge Graph. QBLink answers provided as the titles of Wikipedia infoboxes can be easily mapped to DBpedia entity URIs - if the corresponding entities are present in DBpedia - since DBpedia is constructed through the extraction of information from Wikipedia infoboxes.QBLink, in its original format, is not directly applicable for Conversational Entity Retrieval from a Knowledge Graph (CER-KG) because knowledge graphs contain considerably less information than Wikipedia. A named entity serving as an answer to a QBLink query may not be present as an entity in DBpedia. To modify QBLink for CER over DBpedia, we implemented two filtering steps: 1) we removed all queries for which the wiki_page field is empty, or the answer cannot be mapped to a DBpedia entity or does not match to a Wikipedia page. 2) For the evaluation of a model with specific techniques for entity linking and candidate selection, we excluded queries with answers that do not belong to the set of candidate entities derived using that model.The original QBLink dataset files before filtering are:QBLink-train.jsonQBLink-dev.jsonQBLink-test.jsonAnd the final QBLink-KG files after filtering are:QBLink-Filtered-train.jsonQBLink-Filtered-dev.jsonQBLink-Filtered-test.jsonWe used below references to construct QBLink-KG:Ahmed Elgohary, Chen Zhao, and Jordan Boyd-Graber. 2018. A dataset and baselines for sequential open-domain question answering. In <i>Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing</i>, pages 1077–1083, Brussels, Belgium. Association for Computational Linguistics.https://databus.dbpedia.org/dbpedia/collections/dbpedia-snapshot-2021-09Lehmann, Jens et al. ‘DBpedia – A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia’. 1 Jan. 2015 : 167 – 195.To give more details about QBLink-KG, please read our research paper:Zamiri, Mona, et al. "Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph", The Web Conference 2024.<br>
DOI: 10.6084/m9.figshare.25256290.v2
title: QBLink-KG: QBLink Adapted to DBpedia Knowledge Graph

description: QBLink-KG is a modified version of QBLink, which is a high-quality benchmark for evaluating conversational understanding of Wikipedia content.QBLink consists of sequences of up to three hand-crafted queries, with responses being single-named entities that match the titles of Wikipedia articles.For the QBLink-KG, the English subset of the DBpedia snapshot from September 2021 was used as the target Knowledge Graph. QBLink answers provided as the titles of Wikipedia infoboxes can be easily mapped to DBpedia entity URIs - if the corresponding entities are present in DBpedia - since DBpedia is constructed through the extraction of information from Wikipedia infoboxes.QBLink, in its original format, is not directly applicable for Conversational Entity Retrieval from a Knowledge Graph (CER-KG) because knowledge graphs contain considerably less information than Wikipedia. A named entity serving as an answer to a QBLink query may not be present as an entity in DBpedia. To modify QBLink for CER over DBpedia, we implemented two filtering steps: 1) we removed all queries for which the wiki_page field is empty, or the answer cannot be mapped to a DBpedia entity or does not match to a Wikipedia page. 2) For the evaluation of a model with specific techniques for entity linking and candidate selection, we excluded queries with answers that do not belong to the set of candidate entities derived using that model.The original QBLink dataset files before filtering are:QBLink-train.jsonQBLink-dev.jsonQBLink-test.jsonAnd the final QBLink-KG files after filtering are:QBLink-Filtered-train.jsonQBLink-Filtered-dev.jsonQBLink-Filtered-test.jsonWe used below references to construct QBLink-KG:Ahmed Elgohary, Chen Zhao, and Jordan Boyd-Graber. 2018. A dataset and baselines for sequential open-domain question answering. In <i>Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing</i>, pages 1077–1083, Brussels, Belgium. Association for Computational Linguistics.https://databus.dbpedia.org/dbpedia/collections/dbpedia-snapshot-2021-09Lehmann, Jens et al. ‘DBpedia – A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia’. 1 Jan. 2015 : 167 – 195.To give more details about QBLink-KG, please read our research paper:Zamiri, Mona, et al. "Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph", The Web Conference 2024.<br>
DOI: 10.5281/zenodo.10686252
title: WYHT
DOI: 10.5281/zenodo.10686253
title: WYHT
DOI: 10.34740/kaggle/ds/3512653
title: Sport Activity Dataset - MTS-5
DOI: 10.6084/m9.figshare.25256455
title: Supplementary Material for: Prevalence and trajectories of post-COVID-19 neurological manifestations: A systematic-review and meta-analysis

description: Introduction 
The aim of this systematic review and meta-analysis was to evaluate the prevalence of thirteen neurological manifestations in people affected by COVID-19 during the acute phase and at three, six, nine and twelve-month follow-up time points.
Methods
The study protocol was registered with PROSPERO (CRD42022325505). MEDLINE (PubMed), Embase and the Cochrane library were used as information sources. Eligible studies included original articles of cohort studies, case-control studies, cross-sectional studies and case series with ≥5 subjects that reported the prevalence and type of neurological manifestations, with a minimum follow-up of three months after the acute phase of COVID-19 disease. Two independent reviewers screened studies from January 1, 2020 to June 16, 2022. The following manifestations were assessed: neuromuscular disorders, encephalopathy/altered metal status/delirium, movement disorders, dysautonomia, cerebrovascular disorders, cognitive impairment/dementia, sleep disorders, seizures, syncope/transient loss of consciousness, fatigue, gait disturbances, anosmia/hyposmia and headache. The pooled prevalence and their 95% confidence intervals were calculated at the six pre-specified times. 
Results
126 of 6,545 screened studies fulfilled the eligibility criteria, accounting for 1,542,300 subjects with COVID-19 disease. Of these, four studies only reported data on neurological conditions other than the 13 selected. The neurological disorders with the highest pooled prevalence estimates (per 100 subjects) during the acute phase of COVID-19 were anosmia/hyposmia, fatigue, headache, encephalopathy, cognitive impairment and cerebrovascular disease. At three-month follow-up the pooled prevalence of fatigue, cognitive impairment and sleep disorders was still 20% and higher. At six- and nine-month follow-up, there was a tendency for fatigue, cognitive impairment, sleep disorders, anosmia/hyposmia and headache to further increase in prevalence. At twelve-month follow-up, prevalence estimates decreased but remained high for some disorders, such as fatigue and anosmia/hyposmia. Other neurological disorders had a more fluctuating occurrence. 
Discussion
Neurological manifestations were prevalent during the acute phase of COVID-19 and over the one-year follow-up period, with the highest overall prevalence estimates for fatigue, cognitive impairment, sleep disorders, anosmia/hyposmia and headache. There was a downward trend over time suggesting that neurological manifestations in the early post-COVID-19 phase may be long-lasting but not permanent. However, especially for the twelve-month follow-up time-point, more robust data is needed to confirm this trend
DOI: 10.21227/437m-mk79
title: Urdu Handwritten Ligature Dataset

description: Urdu Handwritten Ligature Dataset (UHLD) is the first unconstrained handwritten Urdu dataset developed for various handwritten Urdu recognition tasks and OCR research problems. The UHLD is written independently of paper color, paper type (blank or ruled), ink color, and pen type. The UHLD consists of around six thousand handwritten Urdu text lines written by 200 different writers. The UHLD dataset covers six and seven-character ligatures whereas it was only up to five character ligatures in previous dataset such as UNHD. The dataset is written by male as well as female writers of different age groups. A large portion of the dataset is uploaded here. However, the entire dataset can be made available from the author upon a reasonable request.
DOI: 10.14272/cmwoxpapybmmjq-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C21H18N2/c1-3-15-4-2-14(1)5-7-16-9-10-17(8-6-15)21-20(16)18-11-12-22-13-19(18)23-21/h1-4,9-13,23H,5-8H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 13C NMR (126 MHz, DMSO, ppm) δ = 141.5 (1C, CAr), 138.2 (1C, CAr), 137.5 (1C, CAr), 137.0 (1C, CAr), 136.4 (1C, CAr), 135.4 (1C, CAr), 134.2 (1C, CAr), 133.0 (1C, CAr), 132.1 (1C, CAr), 131.5 (1C, CAr), 128.8 (1C, CAr), 125.9 (1C, CAr), 125.4 (1C, CAr), 124.2 (1C, CAr), 123.5 (1C, CAr), 123.0 (1C, CAr), 116.0 (1C, CAr), 33.3 (1C, CH2), 32.9 (2C, CH2), 30.6 (1C, CH2).
DOI: 10.14272/cmwoxpapybmmjq-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C21H18N2/c1-3-15-4-2-14(1)5-7-16-9-10-17(8-6-15)21-20(16)18-11-12-22-13-19(18)23-21/h1-4,9-13,23H,5-8H2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 1H NMR (500 MHz, DMSO, ppm) δ = δ 11.45 (s, 1H, NH), 8.91 (s, 1H, HAr), 8.33 (d, J = 5.3 Hz, 1H , HAr), 8.00 (d, J = 5.3 Hz, 1H, HAr), 6.73 (d, J = 7.4 Hz, 1H, HAr), 6.56 (d, J = 7.3 Hz, 1H, HAr), 6.46 (dd, J = 7.7, 1.9 Hz, 1H, HAr), 6.34 (dd, J = 7.7, 1.9 Hz, 1H, HAr), 5.77–5.72 (m, 1H, HAr), 4.95 (dd, J = 7.7, 1.9 Hz, 1H, HAr), 3.99–3.89 (m, 1H, 1H, CH2), 3.59–3.49 (m, 1H, 1H, CH2), 3.13–3.00 (m, 2H, 1H, CH2), 3.00–2.92 (m, 3H, 1H, CH2), 2.85–2.71 (m, 1H, 1H, CH2). Impurities: water (3.33 ppm).
DOI: 10.14272/cmwoxpapybmmjq-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C21H18N2/c1-3-15-4-2-14(1)5-7-16-9-10-17(8-6-15)21-20(16)18-11-12-22-13-19(18)23-21/h1-4,9-13,23H,5-8H2

description: dataset for mass spectrometry (MS)
 
 ESI-MS, m/z (%): 299 (100) [M+H]+.HRMS-ESI for [C21H19N2]+: Calc. m/z = 299.1543, found m/z = 299.1535.
DOI: 10.14272/cmwoxpapybmmjq-uhfffaoysa-n.1
title: [2]Paracyclo[2](6,9)-beta-carbolinophane
title: InChI=1S/C21H18N2/c1-3-15-4-2-14(1)5-7-16-9-10-17(8-6-15)21-20(16)18-11-12-22-13-19(18)23-21/h1-4,9-13,23H,5-8H2

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C21H18N2/c1-3-15-4-2-14(1)5-7-16-9-10-17(8-6-15)21-20(16)18-11-12-22-13-19(18)23-21/h1-4,9-13,23H,5-8H2, and canonical SMILES descriptor[cheminf_000007]: c1ncc2c(c1)c1c3CCc4ccc(CCc(c1[nH]2)cc3)cc4, and by the IUPAC name[cheminf_000107]: .
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-37873

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 336.9 (°C)
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000470 | mass spectrometry (MS)
 
 CHMO:0000630 | infrared absorption spectroscopy (IR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/cmwoxpapybmmjq-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C21H18N2/c1-3-15-4-2-14(1)5-7-16-9-10-17(8-6-15)21-20(16)18-11-12-22-13-19(18)23-21/h1-4,9-13,23H,5-8H2

description: dataset for infrared absorption spectroscopy (IR)
 
 IR (ATR, ṽ) = 3194 (vs), 3191 (vs), 3165 (vs), 3158 (vs), 3144 (vs), 3138 (vs), 3106 (vs), 3067 (vs), 3036 (vs), 3022 (vs), 3008 (vs), 2992 (vs), 2953 (vs), 2932 (vs), 2923 (vs), 2893 (vs), 2851 (vs), 2303 (vs), 1605 (vs), 1449 (vs), 1334 (vs), 1273 (vs), 1250 (vs) cm–1.
DOI: 10.6084/m9.figshare.25256524.v2
title: Haplotype-resolved IVP101 genome sequence

description: Haplotype resolved IVP101 genome sequence
DOI: 10.6084/m9.figshare.25256524.v1
title: Haplotype-resolved IPV101 genome sequence

description: Haplotype resolved IPV101 genome sequence
DOI: 10.15468/hemm3v
title: 2007-2022_nibr_simpl_cr

description: 2007-2022_nibr_simpl_cr Data
DOI: 10.15468/jvhqrn
title: 2007-2022_nibr_simpl_dn

description: 2007-2022_nibr_simpl_dn DATA
DOI: 10.15468/aru5q4
title: 2007-2022_nibr_simpl_eg

description: 2007-2022_nibr_simpl_eg DATA
DOI: 10.15468/9ujxbp
title: 2007-2022_nibr_simpl_cy

description: 2007-2022_nibr_simpl_cy Data
DOI: 10.15468/4wjfu7
title: 2007-2022_nibr_simpl_cl

description: 2007-2022_nibr_simpl_cl Data
DOI: 10.6084/m9.figshare.19772032
title: Data and scripts for Schreberinae

description: Data and scripts for phylogentic inference and biogeographic analyses for Schreberinae
DOI: 10.6084/m9.figshare.19772032.v1
title: Data and scripts for Schreberinae

description: Data and scripts for phylogentic inference and biogeographic analyses for Schreberinae
DOI: 10.6092/unibo/amsacta/7566
title: Creative verb+via: dataset

description: The dataset contains 113 examples of creative use of the verb-particle construction featuring the particle “via” (‘away’). The examples come from the itTenTen16 corpus, searched through the SketchEngine platform.
DOI: 10.15151/esrf-es-1442316997
title: Untangling the early evolution of lepidosauria (lizards, snakes, tuatara) using the transitional fossil Megachirella

description: Lepidosaurs are a diverse group that includes lizards, snakes and the tuatara, making up almost a third of all land vertebrate species today. Their fossil record extends back 245 million years, but the origins and early evolution of lepidosaurs remain obscure. Early fossils are rare, with disputed interpretations, in part due to a lack of good anatomical data for these tiny specimens embedded in rock matrix. We propose to use propagation phase-contrast synchrotron X-ray micro-computed tomography on beamline BM18 to visualise the type and only specimen of the important early species Megachirella wachtleri. Previous lab-based X-ray micro-CT yielded very incomplete and unclear visualization of its anatomy. Synchrotron tomography will provide complete knowledge of the specimen's anatomy, with potential to resolve disagreements about the affinities of Megachirella, and to clarify key uncertainties about the deep evolutionary divergences and anatomical transformations of early lepidosaurs.
DOI: 10.6084/m9.figshare.24006386
title: Use of mandibular tusks as weapons in the aggressive behavior of the burrowing mayfly <i>Rhoenanthus coreanus</i> (Yoon and Bae, 1985) (Ephemeroptera: Potamanthidae)

description: In larvae of burrowing mayflies (Ephemeroidea), mandibular tusks are generally associated with burrowing and/or feeding. This study reports, for the first time, the use of mandibular tusks as weapons in the aggressive behavior of the burrowing mayfly <i>Rhoenanthus coreanus</i> (Yoon and Bae, 1985) (Potamanthidae). The larvae used their tusks as weapons in combat behaviors such as tusking, which was observed in 60.81% and 62.98% of the studied males and females, respectively. Most cases involved combat by tusking between females (70.45%), followed by combat between males (21.60%), and combat between male and female individuals (3.97%). Aggressive behavior was more common in female larvae with longer mandibular tusks. Positive relationships were observed between the number of cases of aggressive behavior (i.e., tusking) and the size of mandibular tusks in both male and female larvae (<i>p</i> &lt; 0.001). Female larvae with large mandibular tusks (5.00 ± 0.50 mm) could use their tusks to lift their opponents in a manner similar to horned beetles. Contests typically occurred as a result of territorial conflict and served as a means to find or retain occupied shelters for feeding and hiding.
DOI: 10.6084/m9.figshare.24006386.v1
title: Use of mandibular tusks as weapons in the aggressive behavior of the burrowing mayfly <i>Rhoenanthus coreanus</i> (Yoon and Bae, 1985) (Ephemeroptera: Potamanthidae)

description: In larvae of burrowing mayflies (Ephemeroidea), mandibular tusks are generally associated with burrowing and/or feeding. This study reports, for the first time, the use of mandibular tusks as weapons in the aggressive behavior of the burrowing mayfly <i>Rhoenanthus coreanus</i> (Yoon and Bae, 1985) (Potamanthidae). The larvae used their tusks as weapons in combat behaviors such as tusking, which was observed in 60.81% and 62.98% of the studied males and females, respectively. Most cases involved combat by tusking between females (70.45%), followed by combat between males (21.60%), and combat between male and female individuals (3.97%). Aggressive behavior was more common in female larvae with longer mandibular tusks. Positive relationships were observed between the number of cases of aggressive behavior (i.e., tusking) and the size of mandibular tusks in both male and female larvae (<i>p</i> &lt; 0.001). Female larvae with large mandibular tusks (5.00 ± 0.50 mm) could use their tusks to lift their opponents in a manner similar to horned beetles. Contests typically occurred as a result of territorial conflict and served as a means to find or retain occupied shelters for feeding and hiding.
DOI: 10.6084/m9.figshare.23702571.v1
title: Supplementary materials - imputation models and data for figures

description: Imputation models for vehicular emissions and data for figures
DOI: 10.6084/m9.figshare.23702571
title: Supplementary materials - imputation models and data for figures

description: Imputation models for vehicular emissions and data for figures
DOI: 10.34740/kaggle/dsv/5344733
title: Indian Bovine breeds
DOI: 10.6084/m9.figshare.22551667
title: Immunostained image for J3 and ZYP1 at pachytene

description: A representative image for co-immunostained J3 cochaperone and ZYP1, transverse element of synaptonemal complex in Arabidopsis
DOI: 10.57702/yztrbsd4
title: gentsch-2023-1
DOI: 10.22002/5za3h-ckp07
title: Oxygen isotope equilibria of O-bearing organic compounds based on first principle quantum mechanical models, and implications for their use in the study of extraterrestrial organics

description: Contains data used in figures in main text and supplementary material of manuscript "Oxygen isotope equilibria of O-bearing organic compounds based on first principle quantum mechanical models, and implications for their use in the study of extraterrestrial organics" to be submitted in Geochimica et Cosmochimica Acta.
DOI: 10.6084/m9.figshare.22551667.v1
title: Immunostained image for J3 and ZYP1 at pachytene

description: A representative image for co-immunostained J3 cochaperone and ZYP1, transverse element of synaptonemal complex in Arabidopsis
DOI: 10.6084/m9.figshare.24635634
title: Exploiting lung adaptation and phage steering to clear pan-resistant Pseudomonas aeruginosa infections in vivo

description: Source Data
DOI: 10.6084/m9.figshare.24635634.v1
title: Exploiting lung adaptation and phage steering to clear pan-resistant Pseudomonas aeruginosa infections in vivo

description: Source Data
DOI: 10.6084/m9.figshare.25040924
title: Efficient catalyst-free N2 fixation by water radical cations under ambient conditions

description: Source Date File for all the Figures and Supplementary Data File for the calculation.
DOI: 10.6084/m9.figshare.24657492
title: A neural signature for the subjective experience of anticipatory anxiety under uncertainty

description: This dataset includes the shock uncertainty-induced threat anticipation signature (SUITAS) and the fMRI data from 124 healthy human subjects, which is used to develop, validate and test the generalizability of SUITAS.The fMRI data is provided in fmri_data object format from the CANlab Core Tools repository for neuroimaging data analysis. See https://canlab.github.io/
DOI: 10.6084/m9.figshare.24657492.v1
title: A neural signature for the subjective experience of threat anticipation under uncertainty

description: This dataset includes the shock uncertainty-induced threat anticipation signature (SUITAS) and the fMRI data from 124 healthy human subjects, which is used to develop, validate and test the generalizability of SUITAS.The fMRI data is provided in fmri_data object format from the CANlab Core Tools repository for neuroimaging data analysis. See https://canlab.github.io/
DOI: 10.6084/m9.figshare.25040924.v1
title: Efficient catalyst-free N2 fixation by water radical cations under ambient conditions

description: Source Date File for all the Figures and Supplementary Data File for the calculation.
DOI: 10.15468/rqt789
title: Calcareous nannofossils, palynomorphs and benthic foraminifera of section L´Arboudeysse
DOI: 10.15468/d5fnmd
title: Cretaceous nannofossils in profile Serre Chaitieu, SE France
DOI: 10.15468/xf3p2x
title: Granulometry and foraminiferal content of sediment core PI-88-AR_P3
DOI: 10.15468/k93yz7
title: Granulometry and foraminiferal content of sediment core PI-88-AR_P7
DOI: 10.15468/ywhfj7
title: 2022_kbif_joint_survey_bird_observation_information_smnh_4

description: 2022 KBIF Joint Investigation Survey Area: Ulleung-gun, Gyeongsangbuk-do, Republic of Korea Subject to investigation: Bird
DOI: 10.48366/r664252
title: Cover crops improve soil structure and change organic carbon distribution in macroaggregate fractions

description: Machine-reusable expression of the research findings published in Gentsch et al. (2024). Cover crops improve soil structure and change organic carbon distribution in macroaggregate fractions. SOIL. https://doi.org/10.5194/soil-10-139-2024
DOI: 10.5281/zenodo.10686167
title: Scalable universal Ising machine enabled by interaction-centric storage and compute-in-memory technology
DOI: 10.6084/m9.figshare.12452057
title: Additional file 11 of The signature of HBV-related liver disease in peripheral blood mononuclear cell DNA methylation

description: Additional file 11:. Supplementary table 11. Multivariate linear regression of 4325 CpG sites using group and HBV marker