cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10014407
title: cinnycerthia_unirufa_decontaminated_FSCR.fasta.gz

description: cinnycerthia_unirufa_decontaminated_FSCR.fasta.gz
DOI: 10.5519/qd.kok3rkrk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7821 records)
DOI: 10.21227/y91d-4p39
title: CT TRAINING AND VALIDATION SERIES FOR 3D AUTOMATED SEGMENTATION OF INNER EAR USING U-NET ARCHITECTURE DEEP-LEARNING MODEL

description: This data set contains: - Training dataset: 271 CT-scans of innerearsused for optimization and training of the model. - Validation dataset: 70 CT-scans of innerearsused for external validation. - U-net architecture deep-learningmodel'sweightafteroptimized training. - All manual segmentations performed for bothdatasets. - All post-processedautomated segmentations performed by the model for bothdatasets. All CT-scans are related to matchingautomated and manual segmentations and have been namedidentically. Example : CT-scan “TDMvalext001“ in folder “Validation CT-scans" isrelated to “TDMvalext001” manual segmentation in folder “Validation manual segmentation”, and to “TDMvalext001_PRED” in folder “Validation automated segmentation”.
DOI: 10.14473/csda/phtohz/hprnvb
title: 68. vlna - brezen 2021 TC_data_FINAL.tab

description: Data
DOI: 10.14473/csda/phtohz/bzqz6e
title: D_CSDA00311.pdf

description: Dotazník 68. vlna
DOI: 10.14473/csda/phtohz/xf10u2
title: TI_CSDA00305_00317.pdf

description: Technická informace 62. vlna - 74. vlna
DOI: 10.5517/ccdc.csd.cc2932cw
title: CCDC 2118117: Experimental Crystal Structure Determination

description: Related Article: Shijun Sun, Zhen Liu, Francesca Colombo, Rui Gao, Yuming Yu, Yi Qiu, Jie Su, Liangbing Gan|2022|Angew.Chem.,Int.Ed.|61|e202212090|doi:10.1002/anie.202212090
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc299jlr
title: CCDC 2124324: Experimental Crystal Structure Determination

description: Related Article: Hao Zhang, Yunbin Li, Liangji Chen, Yisi Yang, Hongyu Lin, Shengchang Xiang, Banglin Chen, Zhangjing Zhang|2023|Chem (Cell Press)|9|242|doi:10.1016/j.chempr.2022.10.023
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bnqtk
title: CCDC 2164879: Experimental Crystal Structure Determination

description: Related Article: Maxim A. Faraonov, Nikita G. Osipov, Nikita R. Romanenko, Alexey V. Kuzmin, Alexey B. Kornev, Pavel A. Stuzhin, Salavat S. Khasanov, Dmitri V. Konarev|2022|New J.Chem.|46|22195|doi:10.1039/D2NJ04578H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fwp34
title: CCDC 2260926: Experimental Crystal Structure Determination

description: Related Article: Zuping Xiong, Jianyu Zhang, Jing Zhi Sun, Haoke Zhang, Ben Zhong Tang|2023|J.Am.Chem.Soc.|145|21104|doi:10.1021/jacs.3c08164
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.14473/csda/dbxn6p/zcx37f
title: 69. vlna - duben 2021 TC_data_FINAL.tab

description: Data 69. vlna
DOI: 10.14473/csda/dbxn6p/titzcm
title: D_CSDA00312.pdf

description: Dotazník 69. vlna
DOI: 10.14473/csda/dbxn6p/zqygqj
title: TI_CSDA00305_00317.pdf

description: Technická informace 62. vlna - 74. vlna
DOI: 10.14473/csda/runyk0/0mnptr
title: 70. vlna - květen 2021 TC_data_FINAL.tab

description: Data
DOI: 10.14473/csda/runyk0/msal6g
title: D_ CSDA00313.pdf

description: Dotazník
DOI: 10.14473/csda/runyk0/7l9zwe
title: TI_CSDA00305_00317.pdf

description: Technická informace 62. vlna - 74. vlna
DOI: 10.6084/m9.figshare.24324733
title: Minimax quasi-Bayesian estimation in sparse canonical correlation analysis via a Rayleigh quotient function

description: Canonical correlation analysis (CCA) is a popular statistical technique for exploring relationships between datasets. In recent years, the estimation of sparse canonical vectors has emerged as an important but challenging variant of the CCA problem, with widespread applications. Unfortunately, existing rate-optimal estimators for sparse canonical vectors have high computational cost. We propose a quasi-Bayesian estimation procedure that not only achieves the minimax estimation rate, but also is easy to compute by Markov Chain Monte Carlo (MCMC). The method builds on ([34]) and uses a re-scaled Rayleigh quotient function as the quasi-log-likelihood. However, unlike ([34]), we adopt a Bayesian framework that combines this quasi-log-likelihood with a spike-and-slab prior to regularize the inference and promote sparsity. We investigate the empirical behavior of the proposed method on both continuous and truncated data, and we demonstrate that it outperforms several state-of-the-art methods. As an application, we use the proposed methodology to maximally correlate clinical variables and proteomic data for better understanding the Covid-19 disease.
DOI: 10.6084/m9.figshare.24324733.v1
title: Minimax quasi-Bayesian estimation in sparse canonical correlation analysis via a Rayleigh quotient function

description: Canonical correlation analysis (CCA) is a popular statistical technique for exploring relationships between datasets. In recent years, the estimation of sparse canonical vectors has emerged as an important but challenging variant of the CCA problem, with widespread applications. Unfortunately, existing rate-optimal estimators for sparse canonical vectors have high computational cost. We propose a quasi-Bayesian estimation procedure that not only achieves the minimax estimation rate, but also is easy to compute by Markov Chain Monte Carlo (MCMC). The method builds on ([34]) and uses a re-scaled Rayleigh quotient function as the quasi-log-likelihood. However, unlike ([34]), we adopt a Bayesian framework that combines this quasi-log-likelihood with a spike-and-slab prior to regularize the inference and promote sparsity. We investigate the empirical behavior of the proposed method on both continuous and truncated data, and we demonstrate that it outperforms several state-of-the-art methods. As an application, we use the proposed methodology to maximally correlate clinical variables and proteomic data for better understanding the Covid-19 disease.
DOI: 10.14473/csda/ttcqjq/tzspr3
title: 71. vlna - červen 2021 TC_data_FINAL.tab

description: Data
DOI: 10.14473/csda/ttcqjq/pxsnqv
title: TI_CSDA00305_00317.pdf

description: Technická informace 62. vlna - 74. vlna
DOI: 10.14473/csda/ttcqjq/txkkio
title: D_CSDA00314.pdf

description: Dotazník
DOI: 10.14473/csda/ks4baf/w4zzqx
title: D_CSDA00315-2.pdf

description: Dotazník
DOI: 10.14473/csda/ks4baf/cjs8ct
title: 72. vlna - srpen 2021 TC_data_FINAL.tab

description: Data
DOI: 10.14473/csda/ks4baf/l5epk2
title: TI_CSDA00305_00317-2.pdf

description: Technická informace 62. vlna - 74. vlna
DOI: 10.5281/zenodo.10014369
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 1954

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 1954.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10014368
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 1954

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 1954.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.15128/r17w62f824x
title: Global Mapping of Rivers and Gravel Bars [dataset]

description: Full details and code can be found at: https://github.com/PCdurham/Semantic_Classification_of_Rivers_and_Bars
description: This dataset comprises 469 tiles of 6x8 degrees which covers the non-polar world, ~89% of the globe. They give land-cover classes at a spatial resolution of 10 meters for rivers (class 1), lakes (class 2) and bars (class 3). These classes were determined using deep learning methods. Further, the tiles also have additional land cover classes for oceans (class 4), glaciated terrain (class 5), snow cover (class 6), cloud (class 7) and data gaps (class 8). These classes were derived from external metadata. The data is for the month of July 2021.
description: Deep learning and image processing
DOI: 10.5281/zenodo.3706733
title: Tiny-ME early results

description: Correctness and performance evaluation results produced with evOWLuator for the following OWL reasoners: Konclude (version 0.6.2-544); Mini-ME Java (version 2.0); Mini-ME Swift (version 1.0); Tiny-ME C (version 1.0.0); Tiny-ME Java (version 1.0.0); Tiny-ME Objective-C (version 1.0.0). Ontologies mentioned in the csv files are part of the ORE 2014 Reasoner Competition Dataset.
DOI: 10.5281/zenodo.3706732
title: Tiny-ME early results

description: Correctness and performance evaluation results produced with evOWLuator for the following OWL reasoners:

Konclude (version 0.6.2-544);
Mini-ME Java (version 2.0);
Mini-ME Swift (version 1.0);
Tiny-ME C (version 1.0.0);
Tiny-ME Java (version 1.0.0);
Tiny-ME Objective-C (version 1.0.0).
Ontologies mentioned in the csv files are part of the ORE 2014 Reasoner Competition Dataset.
Publication: A multiplatform reasoning engine for the Semantic Web of Everything
DOI: 10.5281/zenodo.4405253
title: Tiny-ME early results

description: Correctness and performance evaluation results produced with evOWLuator for the following OWL reasoners:

Konclude (version 0.6.2-544);
Mini-ME Java (version 2.0);
Mini-ME Swift (version 1.0);
Tiny-ME C (version 1.0.0);
Tiny-ME Java (version 1.0.0);
Tiny-ME Objective-C (version 1.0.0).
Ontologies mentioned in the csv files are part of the ORE 2014 Reasoner Competition Dataset.
Publication: A multiplatform reasoning engine for the Semantic Web of Everything
DOI: 10.14473/csda/4y9s6m/bham2d
title: D_CSDA00316.pdf

description: Dotazník
DOI: 10.14473/csda/4y9s6m/rtellj
title: TI_CSDA00305_00317.pdf

description: Technická informace 62. vlna - 74. vlna
DOI: 10.14473/csda/4y9s6m/nzqwku
title: 73. vlna - zari 2021 TC_data_FINAL.tab

description: Data
DOI: 10.14473/csda/jockgr/nqxxkz
title: TI_CSDA00305_00317.pdf

description: Technická informace 62. vlna - 74. vlna
DOI: 10.14473/csda/jockgr/6ifses
title: D_CSDA00317.pdf

description: Dotazník
DOI: 10.14473/csda/jockgr/dphtmp
title: 74. vlna - listopad 2021 TC_data_FINAL.tab

description: Data
DOI: 10.5281/zenodo.3473133
title: OWL Reasoner Evaluation Results

description: Correctness, performance and energy impact evaluation results produced with evOWLuator for the following OWL reasoners:

Fact++ (version 1.6.5);
HermiT (version 1.3.8);
JFact (version 1.2.1);
Konclude (version 0.6.2-544);
Mini-ME (version 2.0);
Mini-ME Swift (version 1.0);
Pellet (version 2.3.1);
TrOWL (version 1.5).
Ontologies mentioned in the csv files are part of the ORE 2014 Reasoner Competition and BioPortal datasets.
Publication: A multiplatform energy-aware OWL reasoner benchmarking framework
DOI: 10.5281/zenodo.5013799
title: OWL Reasoner Evaluation Results

description: Correctness, performance and energy impact evaluation results produced with evOWLuator for the following OWL reasoners:

Fact++ (version 1.6.5);
HermiT (version 1.3.8);
JFact (version 1.2.1);
Konclude (version 0.6.2-544);
Mini-ME (version 2.0);
Mini-ME Swift (version 1.0);
Pellet (version 2.3.1);
TrOWL (version 1.5).
Ontologies mentioned in the csv files are part of the ORE 2014 Reasoner Competition and BioPortal datasets.
Publication: A multiplatform energy-aware OWL reasoner benchmarking framework
DOI: 10.5281/zenodo.7754041
title: Molecular phylogeny of Urvillea (Paullinieae, Sapindaceae) and its implications in stem vascular diversity

description: Background and Aims: The tribe Paullinieae have the highest diversity of vascular variants among the seed plants. The developmental diversity is better understood in the speciose genera Paullinia and Serjania, however, the phylogeny and diversity of vascular variants in the smaller genera of Paullinieae remain understudied. Here we investigate the evolution of development of stem vasculatures in the small genus Urvillea.
	
Methods: We generate the first molecular phylogeny of Urvillea derived from 11 markers using a maximum likelihood and Bayesian approach. In combination with phylogenetic reconstruction, stochastic character mapping is used to assess evolutionary changes in stem ontogenies, determined from developmental anatomy of stems collected in the field or from herbarium and wood collections. 
	
Key Results: Urvillea is supported as a monophyletic group and sister to Serjania. There are five stem ontogenies in Urvillea, including a regular anatomy and four vascular variants. Most stem ontogenies initiate with lobed stems. Lobed adult stems are conserved in Urvillea, but this ontogeny was lost multiple times. A reversal to regular anatomy occurred in non-climbing species. Phloem wedges, fissured stems and ectopic cambia evolved independently once. Phloem wedges is an intermediate developmental stage in the formation of fissured stems, which is characterized by a continuous fragmentation of vascular tissues. Lobed stems may generate constriction zones and lobes may split or not. 




	
Conclusions: Urvillea stands out as the third most diverse genus in number of vascular variants within Paullinieae, but only one ontogeny (fissured stems) is exclusive for the genus. Differential cambial activity and ectopic cambia are the main ontogenetic processes generating stem diversity. The evolutionary history of vascular variants demonstrates the large developmental lability of the cambium in such a small genus and corroborates a scenario of repeated evolution of complex anatomies within Paullinieae lianas.
DOI: 10.5281/zenodo.7754040
title: Molecular phylogeny of Urvillea (Paullinieae, Sapindaceae) and its implications in stem vascular diversity

description: Background and Aims: The tribe Paullinieae have the highest diversity of vascular variants among the seed plants. The developmental diversity is better understood in the speciose genera Paullinia and Serjania, however, the phylogeny and diversity of vascular variants in the smaller genera of Paullinieae remain understudied. Here we investigate the evolution of development of stem vasculatures in the small genus Urvillea.
	
Methods: We generate the first molecular phylogeny of Urvillea derived from 11 markers using a maximum likelihood and Bayesian approach. In combination with phylogenetic reconstruction, stochastic character mapping is used to assess evolutionary changes in stem ontogenies, determined from developmental anatomy of stems collected in the field or from herbarium and wood collections. 
	
Key Results: Urvillea is supported as a monophyletic group and sister to Serjania. There are five stem ontogenies in Urvillea, including a regular anatomy and four vascular variants. Most stem ontogenies initiate with lobed stems. Lobed adult stems are conserved in Urvillea, but this ontogeny was lost multiple times. A reversal to regular anatomy occurred in non-climbing species. Phloem wedges, fissured stems and ectopic cambia evolved independently once. Phloem wedges is an intermediate developmental stage in the formation of fissured stems, which is characterized by a continuous fragmentation of vascular tissues. Lobed stems may generate constriction zones and lobes may split or not. 




	
Conclusions: Urvillea stands out as the third most diverse genus in number of vascular variants within Paullinieae, but only one ontogeny (fissured stems) is exclusive for the genus. Differential cambial activity and ectopic cambia are the main ontogenetic processes generating stem diversity. The evolutionary history of vascular variants demonstrates the large developmental lability of the cambium in such a small genus and corroborates a scenario of repeated evolution of complex anatomies within Paullinieae lianas.
DOI: 10.5281/zenodo.10014436
title: dendrocincla_fuliginosa_decontaminated_FSCR.fasta.gz

description: dendrocincla_fuliginosa_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.10014435
title: dendrocincla_fuliginosa_decontaminated_FSCR.fasta.gz

description: dendrocincla_fuliginosa_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.8387070
title: DeepSpaceYoloDataset: an annotated set of smart telescopes images

description: During the MILAN research project (MachIne Learning for AstroNomy), we have compiled a large collection of deep sky images during Electronically Assisted Astronomy sessions in Luxembourg, France, Belgium.


We have used two instruments for several months (from March 2022 to September 2023): a Stellina smart telescope (https://vaonis.com/stellina) and a Vespera smart telescope (https://vaonis.com/vespera).
We have captured data for a representative set of deep sky objects from the Messier / NGC / IC / Sharpless2 / Barnard catalogues.
Different types of celestial objects were considered: emission/reflection/dark/planetary nebula, galaxies, globular/open clusters.
Images were obtained after the capture and the stacking of sub-frames of 10 seconds exposure time.
Training images were splitted into 608x608 patches.
Based on the YOLOv7 format, the dataset is a ZIP file containing 4696 RGB images, and the corresponding 4696 labels text files with the positions of deep sky objets in the images. 


This research was funded by the Luxembourg National Research Fund (FNR), grant reference 15872557.


More information about the MILAN project: https://www.fnr.lu/results-2021-1-bridges-call/.


More information about VAONIS instruments: https://vaonis.com


More information about Luxembourg of Science and Technology (LIST): https://www.list.lu


Data license for files: Attribution-NonCommercial-NoDerivatives 4.0 International
DOI: 10.5281/zenodo.8387071
title: DeepSpaceYoloDataset: an annotated set of smart telescopes images

description: During the MILAN research project (MachIne Learning for AstroNomy), we have compiled a large collection of deep sky images during Electronically Assisted Astronomy sessions in Luxembourg, France, Belgium.


We have used two instruments for several months (from March 2022 to September 2023): a Stellina smart telescope (https://vaonis.com/stellina) and a Vespera smart telescope (https://vaonis.com/vespera).
We have captured data for a representative set of deep sky objects from the Messier / NGC / IC / Sharpless2 / Barnard catalogues.
Different types of celestial objects were considered: emission/reflection/dark/planetary nebula, galaxies, globular/open clusters.
Images were obtained after the capture and the stacking of sub-frames of 10 seconds exposure time.
Training images were splitted into 608x608 patches.
Based on the YOLOv7 format, the dataset is a ZIP file containing 4696 RGB images, and the corresponding 4696 labels text files with the positions of deep sky objets in the images. 


This research was funded by the Luxembourg National Research Fund (FNR), grant reference 15872557.


More information about the MILAN project: https://www.fnr.lu/results-2021-1-bridges-call/.


More information about VAONIS instruments: https://vaonis.com


More information about Luxembourg of Science and Technology (LIST): https://www.list.lu


Data license for files: Attribution-NonCommercial-NoDerivatives 4.0 International
DOI: 10.5258/soton/d2823
title: Dataset in support of the journal article 'Longitudinal urinary neopterin predicts incidence and increased progression of age-related hearing loss'

description: This dataset contains: Hearing loss and Inflammation Data.xlsx Mass spec UNCR ACQUITY: UPC interfaced with a Waters Xevo triple quadrupole (TQD) mass spectrometer equipped with an electrospray ionization probe, column oven and autosampler. Reference doi:10.1373/jalm.2019.030007 (2019) Pure Tone Audiometry was performed in a sound proof booth using a GSI G1 Clinical Audiometer which was calibrated according to ISO-389-1:2000 Standards. PTA was performed according to the British Society of Audiology (BSA) recommended procedure. Air conduction thresholds were measured at 0.25, 0.5, 1, 2, 3, 4, 6 and 8 kHz for both ears. Thresholds for bone conduction were measured at 0.5, 1, 2, 3 and 4 kHz. Circulating inflammatory markers: A HemoCue WBC and differential analyser was used to give an automated White Blood Cell Count and differential count (neutrophils, lymphocytes, monocytes, eosinophils and basophils). Cytokine concentrations were measured using a MSD multi-spot Pro-inflammatory panel-1 kit. This dataset is available 'on request' to bone fide researchers with ethical clearance please complete the attached request form.
DOI: 10.5523/bris.2s9d9a2dnf8mk25u44ma3n85t9
title: Ball_et_al_2023_data

description: Data associated with Ball et al., 2023 "The importance of isentropic mixing in the formation of the Martian polar layered deposits", PSJ.
DOI: 10.3886/e159582v1-142406
title: Code and Data for: Does Cash Bail Deter Misconduct?

description: Courts routinely use low cash bail as a financial incentive to ensure that released defendants appear in court and abstain from crime. This can create burdens for defendants with little empirical evidence on its efficacy. We exploit a prosecutor-driven reform that led to a sharp reduction in low cash bail and pretrial supervision, with no effect on pretrial detention, to test whether such incentive mechanisms succeed at their intended purpose. We find no evidence that financial collateral has a deterrent effect on failure-to-appear or pretrial crime. This paper also contributes to the literature on legal actor discretion, showing that non-binding reforms may have limited impact on jail populations.<br>
DOI: 10.17636/10190412a
title: Autistic adults’ experiences with social media: Creativity, Connectedness, and Control