cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16607073.v1
title: Additional file 1 of Ontogeny of audible squeaks in yellow steppe lemming Eolagurus luteus: trend towards shorter and low-frequency calls is reminiscent of those in ultrasonic vocalization

description: Additional file 1: Table S1. Mean values for acoustic variables of AUD calls, body weight, body length, head length, foot length, tail length and body size index for 120 individual pup and adult yellow steppe lemmings.
DOI: 10.6084/m9.figshare.16607135
title: Additional file 3 of Using hierarchical similarity to examine the genetics of Behçet’s disease

description: Additional file 3: The genesets included in this text (.txt) file reference studies looking into the genetics of BD. These genesets wereused to conduct the BD HiSIM Run. This text file was created using the export genesets functionality inGeneweaver. All genesets included are publicly available and searchable on Geneweaver.
DOI: 10.6084/m9.figshare.16607135.v1
title: Additional file 3 of Using hierarchical similarity to examine the genetics of Behçet’s disease

description: Additional file 3: The genesets included in this text (.txt) file reference studies looking into the genetics of BD. These genesets wereused to conduct the BD HiSIM Run. This text file was created using the export genesets functionality inGeneweaver. All genesets included are publicly available and searchable on Geneweaver.
DOI: 10.6084/m9.figshare.16607138
title: Additional file 4 of Using hierarchical similarity to examine the genetics of Behçet’s disease

description: Additional file 4: The genesets included in this text (.txt) file were created using the Boolean Algebra tool on publicly availablegenesets on Geneweaver. These genesets were used to conduct the BD Auotimmune Disease Run. This text file wascreated using the export genesets functionality in Geneweaver. All genesets included are publicly available andsearchable on Geneweaver.
DOI: 10.6084/m9.figshare.16607138.v1
title: Additional file 4 of Using hierarchical similarity to examine the genetics of Behçet’s disease

description: Additional file 4: The genesets included in this text (.txt) file were created using the Boolean Algebra tool on publicly availablegenesets on Geneweaver. These genesets were used to conduct the BD Auotimmune Disease Run. This text file wascreated using the export genesets functionality in Geneweaver. All genesets included are publicly available andsearchable on Geneweaver.
DOI: 10.6084/m9.figshare.16441323
title: Soil moisture responses to rainfall: Implications for runoff generation

description: The datasets include time series of volumetric water content for 45 probes along three adjacent hillslopes in a forested headwater catchment at the Coweeta Hydrologic Lab, Otto, NC. These dataset accompany the manuscript published in Water Resources Research. The relevant details regarding datasets can be gleaned from the Methods section of the manuscript.
DOI: 10.5281/zenodo.5500827
title: PROSTATE

description: Summary Prostate transversal T2-weighted magnetic resonance images (MRIs) acquired on a 3.0T Siemens TrioTim using only a pelvic phased-array coil were acquired for prostate cancer detection. The data was provided to TCIA as part of an ISBI challenge competition in 2013. <strong>Data Access</strong> <strong>Detailed Description</strong> <strong>Citations & Data Usage Policy</strong> <strong>Versions</strong> Citations & Data Usage Policy Users of this data must abide by the TCIA Data Usage Policy and the Creative Commons Attribution 3.0 Unported License under which it has been published. Attribution should include references to the following citations: Data Citation Litjens, Geert, Futterer, Jurgen, & Huisman, Henkjan. (2015). <strong>Data From Prostate-3T.</strong> The Cancer Imaging Archive. DOI: 10.7937/K9/TCIA.2015.QJTV5IL5 TCIA Citation Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. (2013) <strong>The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository</strong>, Journal of Digital Imaging, Volume 26, Number 6 pp 1045-1057. DOI: 10.1007/s10278-013-9622-7 Other Publications Using This Data Bloch N, Rusu M, et al. (2015) NCI-ISBI 2013 Challenge: Automated Segmentation of Prostate Structures. TCIA. St. Louis, MO TCIA maintains a list of publications that leverage our data. If you have a publication you'd like to add, please contact the TCIA Helpdesk.
DOI: 10.5281/zenodo.5500826
title: PROSTATE

description: Summary Prostate transversal T2-weighted magnetic resonance images (MRIs) acquired on a 3.0T Siemens TrioTim using only a pelvic phased-array coil were acquired for prostate cancer detection. The data was provided to TCIA as part of an ISBI challenge competition in 2013. <strong>Data Access</strong> <strong>Detailed Description</strong> <strong>Citations & Data Usage Policy</strong> <strong>Versions</strong> Citations & Data Usage Policy Users of this data must abide by the TCIA Data Usage Policy and the Creative Commons Attribution 3.0 Unported License under which it has been published. Attribution should include references to the following citations: Data Citation Litjens, Geert, Futterer, Jurgen, & Huisman, Henkjan. (2015). <strong>Data From Prostate-3T.</strong> The Cancer Imaging Archive. DOI: 10.7937/K9/TCIA.2015.QJTV5IL5 TCIA Citation Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. (2013) <strong>The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository</strong>, Journal of Digital Imaging, Volume 26, Number 6 pp 1045-1057. DOI: 10.1007/s10278-013-9622-7 Other Publications Using This Data Bloch N, Rusu M, et al. (2015) NCI-ISBI 2013 Challenge: Automated Segmentation of Prostate Structures. TCIA. St. Louis, MO TCIA maintains a list of publications that leverage our data. If you have a publication you'd like to add, please contact the TCIA Helpdesk.
DOI: 10.6084/m9.figshare.16531536
title: EVs adoption in ABMs

description: The dataset pertains to adoption intention of EVs in the context of Alternate Business Models in India.
DOI: 10.6084/m9.figshare.16531536.v1
title: EVs adoption in ABMs

description: The dataset pertains to adoption intention of EVs in the context of Alternate Business Models in India.
DOI: 10.5517/ccdc.csd.cc25vtc7
title: CCDC 2021769: Experimental Crystal Structure Determination

description: Related Article: Changwei Chen, Hongyu Zhang, Gang Xu, Sunliang Cui|2021|Chin.Chem.Lett.|32|2551|doi:10.1016/j.cclet.2021.02.054
DOI: 10.5517/ccdc.csd.cc25vthc
title: CCDC 2021773: Experimental Crystal Structure Determination

description: Related Article: Changwei Chen, Hongyu Zhang, Gang Xu, Sunliang Cui|2021|Chin.Chem.Lett.|32|2551|doi:10.1016/j.cclet.2021.02.054
DOI: 10.5517/ccdc.csd.cc27q5dk
title: CCDC 2076888: Experimental Crystal Structure Determination

description: Related Article: Gang Yuan, Chao Zhang, Xiang-Rong Hao, Xiu-Mei Li, Xiao-Hui Yu, Yan-Ping Zheng, Zhong-Min Su|2021|J.Solid State Chem.|303|122538|doi:10.1016/j.jssc.2021.122538
DOI: 10.5517/ccdc.csd.cc27zcqb
title: CCDC 2084772: Experimental Crystal Structure Determination

description: Related Article: Sigrid A. Kiledal, Roxane Jourdain, Sreekumar Vellalath, Daniel Romo|2021|Org.Lett.|23|6622|doi:10.1021/acs.orglett.1c02044
DOI: 10.5517/ccdc.csd.cc27zcrc
title: CCDC 2084773: Experimental Crystal Structure Determination

description: Related Article: Sigrid A. Kiledal, Roxane Jourdain, Sreekumar Vellalath, Daniel Romo|2021|Org.Lett.|23|6622|doi:10.1021/acs.orglett.1c02044
DOI: 10.5517/ccdc.csd.cc2865f3
title: CCDC 2091304: Experimental Crystal Structure Determination

description: Related Article: Valery G. Vlasenko, Anatolii S. Burlov, Yurii V. Koshchienko, Alexandra A. Kolodina, Stanislav P. Kubrin, Bogdan V. Chaltsev, Yan V. Zubavichus, Vladimir A. Lazarenko, Alexander A. Zubenko, Alexander I. Klimenko|2022|J.Mol.Struct.|1247|131370|doi:10.1016/j.molstruc.2021.131370
DOI: 10.5517/ccdc.csd.cc1q01j9
title: CCDC 1578970: Experimental Crystal Structure Determination

description: Related Article: Valery G. Vlasenko, Anatolii S. Burlov, Yurii V. Koshchienko, Alexandra A. Kolodina, Stanislav P. Kubrin, Bogdan V. Chaltsev, Yan V. Zubavichus, Vladimir A. Lazarenko, Alexander A. Zubenko, Alexander I. Klimenko|2022|J.Mol.Struct.|1247|131370|doi:10.1016/j.molstruc.2021.131370
DOI: 10.5517/ccdc.csd.cc2865g4
title: CCDC 2091305: Experimental Crystal Structure Determination

description: Related Article: Valery G. Vlasenko, Anatolii S. Burlov, Yurii V. Koshchienko, Alexandra A. Kolodina, Stanislav P. Kubrin, Bogdan V. Chaltsev, Yan V. Zubavichus, Vladimir A. Lazarenko, Alexander A. Zubenko, Alexander I. Klimenko|2022|J.Mol.Struct.|1247|131370|doi:10.1016/j.molstruc.2021.131370
DOI: 10.15151/esrf-es-514137631
title: Scanning and In-situ MLL Development for X-ray Nanodiffraction on Thin Film, Space and Additively Manufactured Applications
DOI: 10.15151/esrf-es-514011111
title: Crystal structure compression of polycyclic arene-perfluoroarene co-crystals and pressure-induced polymer formation

description: We propose to study the structural compression and pressure-induced polymerization of 1:1 co-crystals of polycyclic arenes (naphthalene, anthracene, and tetracene) and perfluoroarenes (perfluoroanthracene) using single-crystal X-ray diffraction. The aim of this experiment is to verify the postulated high pressure-stability of these compounds, which form pi-stacks of alternating non- and perfluorinated molecules in the crystal structure, and to contribute to the understanding of the design of novel carbon materials via application of supramolecular synthons such as the arene–perfluoroarene interaction and via variation of the number of aromatic rings of the molecules.
DOI: 10.15151/esrf-es-532206404
title: time resolved XRDCT of 18650 NMC cells

description: time resolved XRDCT of 18650 NMC cells
DOI: 10.5281/zenodo.5500978
title: GNN Benchmarking Datasets

description: Datasets appearing in "https://arxiv.org/abs/2003.00982" converted to HDF5
DOI: 10.5281/zenodo.5500977
title: GNN Benchmarking Datasets

description: Datasets appearing in "https://arxiv.org/abs/2003.00982" converted to HDF5
DOI: 10.5281/zenodo.5372058
title: Imprint of planet formation in the deep interior of the Sun

description: In protoplanetary disks, the growth and inward drift of dust lead to the generation of a temporal ``pebble wave'' of increased metallicity. This phase must be followed by a phase in which the exhaustion of the pebbles in the disk and the formation of planets lead to the accretion of metal-poor gas. At the same time, disk winds may lead to the selective removal of hydrogen and helium from the disk. Hence, stars grow by accreting gas that has an evolving composition. In this work, we investigated how the formation of the Solar System may have affected the composition and structure of the Sun, and whether it plays any role in solving the so-called solar abundance problem, that is, the fact that standard models with up-to-date lower-metallicity abundances reproduce helioseismic constraints significantly more poorly than those with old higher-metallicity abundances. We simulated the evolution of the Sun from the protostellar phase to the present age and attempted to reproduce spectroscopic and helioseismic constraints. We performed chi-squared tests to optimize our input parameters, which we extended by adding secondary parameters. These additional parameters accounted for the variations in the composition of the accreted material and an increase in the opacities. We confirmed that, for realistic models, planet formation occurs when the solar convective zone is still massive; thus, the overall changes due to planet formation are too small to significantly improve the chi-square fits. We found that solar models with up-to-date abundances require an opacity increase of 12% to 18% centered at T = 10^6.4 K to reproduce the available observational constraints. This is slightly higher than, but is qualitatively in good agreement with, recent measurements of higher iron opacities. These models result in better fits to the observations than those using old abundances; therefore, they are a promising solution to the solar abundance problem. Using these improved models, we found that planet formation processes leave a small imprint in the solar core, whose metallicity is enhanced by up to 5%. This result can be tested by accurately measuring the solar neutrino flux. In the improved models, the protosolar molecular cloud core is characterized by a primordial metallicity in the range Zproto = 0.0127-0.0157 and a helium mass fraction in the range Yproto = 0.268-0.274.
description: Supplemental materials of Kunitomo and Guillot (2021). The stellar evolution code MESA version 12115 was used to simulate solar evolution models. The "Kunitomo+2021.zip" file includes (1) a ReadMe file, (2) the input files (inlist, run_star_extras.f, etc.) of the MESA code, (3) a csv file summarizing the optimized input parameters and results of all the simulation models, (4) plots showing how the input parameters and results are changed with runs by the simplex method, (5) animations of the evolutions of the optimized case of each model, and (6) structure and evolution data of the optimized cases of models K2, K2-MZ5, and K23-MZvar with A2 = 0.12.
DOI: 10.5281/zenodo.5145269
title: 20210716_SDS_Headache_SB_01

description: Dataset refers to the validation of the Severity of Dependence Scale (SDS) in detecting dependence behaviors in patients with chronic migraine and medication overuse using the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) and the Leeds Dependence Questionnaire (LDQ) as gold standard measures. In the dataset are reported scores in single items of the SDS and LDQ according to the diagnosis made by DSM-IV. Results highlighted significantly higher SDS scores in patients with substance dependence with respect to those without this diagnosis.
DOI: 10.5281/zenodo.5145268
title: 20210716_SDS_Headache_SB_01

description: Dataset refers to the validation of the Severity of Dependence Scale (SDS) in detecting dependence behaviors in patients with chronic migraine and medication overuse using the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) and the Leeds Dependence Questionnaire (LDQ) as gold standard measures. In the dataset are reported scores in single items of the SDS and LDQ according to the diagnosis made by DSM-IV. Results highlighted significantly higher SDS scores in patients with substance dependence with respect to those without this diagnosis.
DOI: 10.5281/zenodo.5148267
title: Parkinson-CBD

description: The database includes the raw data of the article “Neuroprotective and Symptomatic Effects of Cannabidiol in an Animal Model of Parkinson’s Disease” (doi.org/10.3390/ijms22168920). The aim of this study was to evaluate the effects of chronic treatment with cannabidiol (CBD) on Parkinson’s disease-associated neurodegenerative and neuroinflammatory processes, and motor deficits in the 6-hydroxydopamine (6-OHDA) model. Moreover, the potential mechanisms by which CBD exerted its effects in this model has been investigated. The database contains the data obtained by the following evaluations: a) immunohistochemical analysis of the extent of nigrostriatal lesion, b) motor performance assessment by cylinder test (at baseline and after 28days), apomorphine-induced rotation test and rotarod test, c) immunohistochemical analysis of neuroinflammatory response - involving microglia and astrocytes - in the substantia nigra pars compacta, investigating both cell activation and polarization, d)co-localization analysis of transient receptor potential cation channel subfamily V member 1 (TRPV1) and ciliary neurotrophic factor (CNTF) expression in astrocytes. CBD-treated animals showed a reduction of nigrostriatal degeneration accompanied by a damping of the neuroinflammatory response and an improvement of motor performance. In particular, CBD exhibited a preferential action on astrocytes, by activating TRPV1 and enhancing the endogenous neuroprotective response of CNTF. These results overall support the potential therapeutic utility of CBD in PD, as both neuroprotective and symptomatic agent.
description: Funding: This research was funded by Linnea SA
DOI: 10.5281/zenodo.5501020
title: PCQM4M-LSC

description: PCQM4M-LSC dataset appearing in "https://arxiv.org/pdf/2103.09430.pdf" converted to HDF5 format.
DOI: 10.5281/zenodo.5501019
title: PCQM4M-LSC

description: PCQM4M-LSC dataset appearing in "https://arxiv.org/pdf/2103.09430.pdf" converted to HDF5 format.
DOI: 10.5517/ccdc.csd.cc28kj5k
title: CCDC 2102208: Experimental Crystal Structure Determination

description: Related Article: Dong-Sheng Liu, Lin-Han Dai, Feng-Qing Qiu, Dong-Zheng Xi, Yan Luo, Nan-Nan Pi, Yan Sui|2021|J.Solid State Chem.|303|122540|doi:10.1016/j.jssc.2021.122540
DOI: 10.5517/ccdc.csd.cc27q5cj
title: CCDC 2076887: Experimental Crystal Structure Determination

description: Related Article: Gang Yuan, Chao Zhang, Xiang-Rong Hao, Xiu-Mei Li, Xiao-Hui Yu, Yan-Ping Zheng, Zhong-Min Su|2021|J.Solid State Chem.|303|122538|doi:10.1016/j.jssc.2021.122538
DOI: 10.5517/ccdc.csd.cc28kb39
title: CCDC 2102020: Experimental Crystal Structure Determination

description: Related Article: Dong-Sheng Liu, Lin-Han Dai, Feng-Qing Qiu, Dong-Zheng Xi, Yan Luo, Nan-Nan Pi, Yan Sui|2021|J.Solid State Chem.|303|122540|doi:10.1016/j.jssc.2021.122540
DOI: 10.5281/zenodo.5499454
title: Temporary data storage

description: Data storage
DOI: 10.5281/zenodo.5499453
title: Temporary data storage

description: Data storage
DOI: 10.6084/m9.figshare.16606850
title: A deep learning method for recovering missing signals in transcriptome-wide RNA structure profiles from probing experiments

description: Training and validation set of papar "A deep learning method for recovering missing signals in transcriptome-wide RNA structure profiles from probing experiments"
DOI: 10.6084/m9.figshare.12846584
title: Data_AS_EKE

description: The data of analyzing EKE and eddy-induced transport in the Arabian Sea.
DOI: 10.6084/m9.figshare.12846584.v1
title: Data_AS_EKE

description: The data of analyzing EKE and eddy-induced transport in the Arabian Sea.
DOI: 10.6084/m9.figshare.16607267.v1
title: Data of CDWL, LAS, wind tower, and MWR in the turbulence detection experiments

description: This data contains the observation results of CDWL, LAS, and wind tower in the horizontal experiments in HeFei, results of CDWL and MWR in the vertical experiments in Xilin Gol Prairie.<br>The data is used in the paper: "Turbulence Detection in the Atmospheric Boundary Layer using Coherent Doppler Wind Lidar and Microwave Radiometer".
DOI: 10.5281/zenodo.5501085
title: MWCC: A Corpus of Malawi Criminal Cases - Extract

description: This is an extract of a corpus of Malawi Criminal Cases annotated with legal citations.
DOI: 10.6084/m9.figshare.16607267
title: Data of CDWL, LAS, wind tower, and MWR in the turbulence detection experiments

description: This data contains the observation results of CDWL, LAS, and wind tower in the horizontal experiments in HeFei, results of CDWL and MWR in the vertical experiments in Xilin Gol Prairie.<br>The data is used in the paper: "Turbulence Detection in the Atmospheric Boundary Layer using Coherent Doppler Wind Lidar and Microwave Radiometer".
DOI: 10.6084/m9.figshare.16607267.v2
title: Turbulence detection experiments

description: This data contains the observation results of CDWL, LAS, and wind tower in the horizontal experiments in HeFei, results of CDWL and MWR in the vertical experiments in Xilin Gol Prairie.<br>The data is used in the paper: "Turbulence Detection in the Atmospheric Boundary Layer using Coherent Doppler Wind Lidar and Microwave Radiometer".
DOI: 10.6084/m9.figshare.16607306
title: Turbulence detection experiments

description: This data contains the observation results of CDWL, LAS, and wind tower in the horizontal experiments in HeFei, results of CDWL and MWR in the vertical experiments in Xilin Gol Prairie.<br><br>The data is used in the paper: "Turbulence Detection in the Atmospheric Boundary Layer using Coherent Doppler Wind Lidar and Microwave Radiometer".
DOI: 10.5281/zenodo.5501054
title: Data of Eggenberger Andersen et al. 2021

description: Hi,<br> There are nine files containing GW data as well as a notebook that reads the data and make two basic plots of the GW waveforms. Please contact oliver.e.andersen@astro.su.se with any questions (or should your analysis find any inconsistencies with ours). If you use this data, please cite our paper.<br> <br> The data files are named according to our labelling of the simulations in Table 2.<br> <br> The file columns are:<br> 1. time post-bounce<br> 2. h_{+} * D [cm] (plus polarised strain assuming the observer is located at the equator)<br> <br> The notebook generate part of Figure 2 and Figure 7.<br> We have also included tables for the EOS and neutrino opacities. <br> The kindest regards, <br> Oliver, Shuai, André, Aurore, Sean, & Evan.<br>
DOI: 10.5281/zenodo.5500015
title: data set regarding to project- Malnutrition, sarcopenia and malnutrition-sarcopenia syndrome in Older Adults with COPD

description: <strong>data set regarding to project- Malnutrition, sarcopenia and malnutrition-sarcopenia syndrome in Older Adults with COPD</strong>
DOI: 10.5281/zenodo.5500014
title: data set regarding to project- Malnutrition, sarcopenia and malnutrition-sarcopenia syndrome in Older Adults with COPD

description: <strong>data set regarding to project- Malnutrition, sarcopenia and malnutrition-sarcopenia syndrome in Older Adults with COPD</strong>
DOI: 10.15161/oar.it/74088
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.15043911.v1
title: Efficient Enumeration of Correlation Clustering Optimal Solution Space

description: This is the data used in the experiments of our paper submitted to the journal of Global Optimization:<br><i>N. Arinik, R. Figueiredo, V. Labatut (</i><i>submitted), Efficient Enumeration of Correlation Clustering Optimal Solution Space, Journal of Global Optimization.</i> The code source is accessible here: <i>https://github.com/arinik9/Sosocc-Enum</i><br><br>This dataset contains:<br>* Plot files used in the article<br>* Input signed networks<br>* All optimal solutions (i.e. optimal solution space) of the corresponding networks* Evaluation files
DOI: 10.5281/zenodo.5501148
title: Lymphadenopathy after BNT162b2 Covid-19 Vaccine: Preliminary Ultrasound Findings.

description: We uploaded the dataset of the enrolled patients of the manuscript: Granata V, Fusco R, Setola SV, Galdiero R, Picone C, Izzo F, D'Aniello R, Miele V, Grassi R, Grassi R, Petrillo A. Lymphadenopathy after <em>BNT162b2</em> Covid-19 Vaccine: Preliminary Ultrasound Findings. Biology (Basel). 2021 Mar 11;10(3):214. doi: 10.3390/biology10030214. PMID: 33799618; PMCID: PMC8001230.
DOI: 10.5281/zenodo.5501147
title: Lymphadenopathy after BNT162b2 Covid-19 Vaccine: Preliminary Ultrasound Findings.

description: We uploaded the dataset of the enrolled patients of the manuscript: Granata V, Fusco R, Setola SV, Galdiero R, Picone C, Izzo F, D'Aniello R, Miele V, Grassi R, Grassi R, Petrillo A. Lymphadenopathy after <em>BNT162b2</em> Covid-19 Vaccine: Preliminary Ultrasound Findings. Biology (Basel). 2021 Mar 11;10(3):214. doi: 10.3390/biology10030214. PMID: 33799618; PMCID: PMC8001230.
DOI: 10.18112/openneuro.ds003655.v1.0.1
title: VerbalWorkingMemory