cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8136295
title: EMDiffuse Dataset

description: Mouse brain cortex electron microscopy denoising and super-resolution dataset. The file format is organized as below:


EMDiffsue_dataset



	
brain_train // mouse brain cortex dataset to train

	

		
1  // region index. Each region contains images obtained using a 20,000 magnification rate and a 40,000 magnification rate with different imaging speeds.

		

			
Brain__2w_01.tif // Super-resolution raw data. The magnification rate is 20,000 and the imaging time is ~ 7s
			
Brain__2w_02.tif // Super-resolution raw data. The magnification rate is 20,000 and the imaging time is ~14s
			
Brain__2w_03.tif // Super-resolution raw data. The magnification rate is 20,000 and the imaging time is ~20s
			
Brain__4w_04.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~2s
			
Brain__4w_05.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~4s
			
Brain__4w_06.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~6s
			
Brain__4w_07.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~8s
			
Brain__4w_08.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~14s
			
Brain__4w_09.tif // Denoising ground truth and super-resolution ground truth. The magnification rate is 40,000 and the imaging time is ~130s
		
		
		
2
		
....
	
	
	
brain_test // mouse brain cortex dataset to train
	

		
1
		

			
Brain__4w_04.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~2s
			
Brain__2w_01.tif // Super-resolution raw data. The magnification rate is 20,000 and the imaging time is ~ 7s
			
...
		
		
	
	
	
Heart  // mouse heart dataset for transfer learning
	

		
1
		

			
Heart__4w_04.tif
			
Heart__4w_05.tif
			
...
		
		
		
2
		
...
	
	
	
Liver  // mouse liver dataset for transfer learning
	
Bone Marrow  // bone marrow dataset for transfer learning
DOI: 10.5281/zenodo.8133430
title: EMDiffuse Dataset

description: Mouse brain cortex electron microscopy denoising and super-resolution dataset. The file format is organized as below:
EMDiffsue_dataset

brain_train // mouse brain cortex dataset to train

1  // region index. Each region contains images obtained using a 20,000 magnification rate and a 40,000 magnification rate with different imaging speeds.

Brain__2w_01.tif // Super-resolution raw data. The magnification rate is 20,000 and the imaging time is ~ 7s
Brain__2w_02.tif // Super-resolution raw data. The magnification rate is 20,000 and the imaging time is ~14s
Brain__2w_03.tif // Super-resolution raw data. The magnification rate is 20,000 and the imaging time is ~20s
Brain__4w_04.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~2s
Brain__4w_05.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~4s
Brain__4w_06.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~6s
Brain__4w_07.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~8s
Brain__4w_08.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~14s
Brain__4w_09.tif // Denoising ground truth and super-resolution ground truth. The magnification rate is 40,000 and the imaging time is ~130s
2
....
brain_test // mouse brain cortex dataset to train

1

Brain__4w_04.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~2s
Brain__2w_01.tif // Super-resolution raw data. The magnification rate is 20,000 and the imaging time is ~ 7s
...
Heart  // mouse heart dataset for transfer learning

1

Heart__4w_04.tif
Heart__4w_05.tif
...
2
...
Liver  // mouse liver dataset for transfer learning
Bone Marrow  // bone marrow dataset for transfer learning
HeLa / / HeLa  dataset for transfer learning
DOI: 10.5281/zenodo.8133431
title: EMDiffuse Dataset

description: Mouse brain cortex electron microscopy denoising and super-resolution dataset. The file format is organized as below: EMDiffsue_dataset 1 // region index. Each region contains images obtained using 20,000 magnification rate and 40,000 magnification rate with different imaging speed. Brain__2w_01.tif // Super-resolution raw data. The magnification rate is 20,000 and the imaging time is ~ 7s Brain__2w_02.tif // Super-resolution raw data. The magnification rate is 20,000 and the imaging time is ~14s Brain__2w_03.tif // Super-resolution raw data. The magnification rate is 20,000 and the imaging time is ~20s Brain__4w_04.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~2s Brain__4w_05.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~4s Brain__4w_06.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~6s Brain__4w_07.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~8s Brain__4w_08.tif // Denoising raw data. The magnification rate is 40,000 and the imaging time is ~14s Brain__4w_09.tif // Denoising ground truth and super-resolution ground truth. The magnification rate is 40,000 and the imaging time is ~130s 2 ....
DOI: 10.5281/zenodo.3759067
title: Houvardas06 Author Identification: C50-Attribution

description: This dataset contains 2500 texts from 50 different authors/candidates (C50). The ground truth can be found inside a json-file.
DOI: 10.5281/zenodo.3759068
title: Houvardas06 Author Identification: C50-Attribution

description: This dataset contains 2500 texts from 50 different authors/candidates (C50). The ground truth can be found inside a json-file.
DOI: 10.5281/zenodo.3759063
title: Stamatatos06 Author Identification: C10-Attribution

description: This dataset contains 500 texts from 10 different authors/candidates (C10). The ground truth can be found inside a json-file.
DOI: 10.5281/zenodo.3759064
title: Stamatatos06 Author Identification: C10-Attribution

description: This dataset contains 500 texts from 10 different authors/candidates (C10). The ground truth can be found inside a json-file.
DOI: 10.5281/zenodo.3713245
title: PAN11 Author Identification: Attribution

description: We provide you with a training corpus that comprises several different common attribution and verification scenarios. There are five training collections consisting of real-world texts (for authorship attribution), and three each with a single author (for authorship verification).
DOI: 10.5281/zenodo.3713246
title: PAN11 Author Identification: Attribution

description: We provide you with a training corpus that comprises several different common attribution and verification scenarios. There are five training collections consisting of real-world texts (for authorship attribution), and three each with a single author (for authorship verification).
DOI: 10.5281/zenodo.3737684
title: PAN18 Author Identification: Attribution

description: We provide a corpus which comprises a set of cross-domain authorship attribution problems in each of the following 5 languages: English, French, Italian, Polish, and Spanish. Note that we specifically avoid to use the term 'training corpus' because the sets of candidate authors of the development and the evaluation corpora are not overlapping. Therefore, your approach should not be designed to particularly handle the candidate authors of the development corpus.


Each problem consists of a set of known fanfics by each candidate author and a set of unknown fanfics located in separate folders. The file problem-info.json that can be found in the main folder of each problem, shows the name of folder of unknown documents and the list of names of candidate author folders.


The true author of each unknown document can be seen in the file ground-truth.json, also found in the main folder of each problem.


In addition, to handle a collection of such problems, the file collection-info.jsonincludes all relevant information. In more detail, for each problem it lists its main folder, the language (either "en", "fr", "it", "pl", or "sp") and encoding (always UTF-8) of its documents.


More information: Link
description: new version: removed passwords inside packages
DOI: 10.5281/zenodo.3737685
title: PAN18 Author Identification: Attribution

description: We provide a corpus which comprises a set of cross-domain authorship attribution problems in each of the following 5 languages: English, French, Italian, Polish, and Spanish. Note that we specifically avoid to use the term 'training corpus' because <strong>the sets of candidate authors of the development and the evaluation corpora are not overlapping</strong>. Therefore, your approach should not be designed to particularly handle the candidate authors of the development corpus. Each problem consists of a set of known fanfics by each candidate author and a set of unknown fanfics located in separate folders. The file <code>problem-info.json</code> that can be found in the main folder of each problem, shows the name of folder of unknown documents and the list of names of candidate author folders. The true author of each unknown document can be seen in the file <code>ground-truth.json</code>, also found in the main folder of each problem. In addition, to handle a collection of such problems, the file <code>collection-info.json</code>includes all relevant information. In more detail, for each problem it lists its main folder, the language (either <code>"en"</code>, <code>"fr"</code>, <code>"it"</code>, <code>"pl"</code>, or <code>"sp"</code>) and encoding (always <code>UTF-8</code>) of its documents. More information: Link
description: {"references": ["Mike Kestemont, Michael Tschuggnall, Efstathios Stamatatos, Walter Daelemans, G\u00fcnther Specht, Benno Stein, and Martin Potthast. Overview of the Author Identification Task at PAN-2018: Cross-domain Authorship Attribution and Style Change Detection. In Linda Cappellato, Nicola Ferro, Jian-Yun Nie, and Laure Soulier, editors, Working Notes Papers of the CLEF 2018 Evaluation Labs volume 2125 of CEUR Workshop Proceedings, September 2018. CEUR-WS.org. ISSN 1613-0073."]}
DOI: 10.5281/zenodo.3737849
title: PAN18 Author Identification: Attribution

description: We provide a corpus which comprises a set of cross-domain authorship attribution problems in each of the following 5 languages: English, French, Italian, Polish, and Spanish. Note that we specifically avoid to use the term 'training corpus' because the sets of candidate authors of the development and the evaluation corpora are not overlapping. Therefore, your approach should not be designed to particularly handle the candidate authors of the development corpus.


Each problem consists of a set of known fanfics by each candidate author and a set of unknown fanfics located in separate folders. The file problem-info.json that can be found in the main folder of each problem, shows the name of folder of unknown documents and the list of names of candidate author folders.


The true author of each unknown document can be seen in the file ground-truth.json, also found in the main folder of each problem.


In addition, to handle a collection of such problems, the file collection-info.jsonincludes all relevant information. In more detail, for each problem it lists its main folder, the language (either "en", "fr", "it", "pl", or "sp") and encoding (always UTF-8) of its documents.


More information: Link
description: new version: removed passwords inside packages
DOI: 10.5281/zenodo.3737586
title: PAN16 Author Identification: Clustering

description: We provide a collection of (up to 100) documents to identify authorship links and groups of documents by the same author. All documents are single-authored, in the same language, and belong to the same genre. However, the topic or text-length of documents may vary. The number of distinct authors whose documents are included in the collection is not given.


More information: Link
DOI: 10.5281/zenodo.3737587
title: PAN16 Author Identification: Clustering

description: We provide a collection of (up to 100) documents to identify authorship links and groups of documents by the same author. All documents are single-authored, in the same language, and belong to the same genre. However, the topic or text-length of documents may vary. The number of distinct authors whose documents are included in the collection is not given.


More information: Link
DOI: 10.5281/zenodo.10205973
title: Effects of solar wind density and velocity variations on the Martian ionosphere and plasma transport—a MHD model study

description: MHD simulation data for paper: Effects of solar wind density and velocity variations on the Martian ionosphere and plasma transport—a MHD model study
DOI: 10.34740/kaggle/dsv/7050493
title: COVID Vaccination in World (updated daily)
DOI: 10.34683/sr562
title: StoneRounds Case: SR562
title: Senior-Loken Syndrome

description: StoneRounds Case SR562 was diagnosed with Senior-Loken Syndrome likely caused by mutations in the gene: NPHP1.
DOI: 10.5061/dryad.12jm63xt0
title: The many population genetic and demographic routes to islands of genomic divergence

description: The way that organisms diverge into reproductively isolated species is a major question in biology. The recent accumulation of genomic data provides promising opportunities to understand the genomic landscape of divergence, which describes the distribution of differences across genomes. Genomic areas of unusually high differentiation have been called genomic islands of divergence. Their formation has been attributed to a variety of mechanisms, but a prominent hypothesis is that they result from divergent selection over a small portion of the genome, with surrounding areas homogenised by gene flow. Such islands have often been interpreted as being associated with divergence with gene flow. However other mechanisms related to genomic structure and population history can also contribute to the formation of genomic islands of divergence. We currently lack a quantitative framework to examine the dynamics of genomic landscapes under the complex and nuanced conditions that are found in natural systems. Here, we develop an individual-based simulation to explore the dynamics of diverging genomes under various scenarios of gene flow, selection and genotype-phenotype maps. Our modelling results are consistent with empirical observations demonstrating the formation of genomic islands under genetic isolation. Importantly, we have quantified the range of conditions that produce genomic islands. We demonstrate that the initial level of genetic diversity, drift, time since divergence, linkage disequilibrium, strength of selection and gene flow are all important factors that can influence the formation of genomic islands. Because the accumulation of genomic differentiation over time tends to erode the signal of genomic islands, genomic islands are more likely to be observed in recently divergent taxa, although not all recently diverged taxa will necessarily exhibit islands of genomic divergence. Gene flow primarily slows the swamping of islands of divergence with time. By using this framework, further studies may explore the relative influence of particular suites of events that contribute to the emergence of genomic islands under sympatric, parapatric and allopatric conditions. This approach represents a novel tool to explore quantitative expectations of the speciation process, and should prove useful in elucidating past and projecting future genomic evolution of any taxa.
DOI: 10.5061/dryad.1289
title: Data from: Identifying footprints of selection in stocked brown trout populations: a spatio-temporal approach
DOI: 10.5061/dryad.6q12q
title: Data from: Pace-of-life in a social insect: behavioral syndromes in ants shift along a climatic gradient
DOI: 10.5519/qd.ugjbovlt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.24634041
title: <b>Effects of human and tectonic activities on groundwater in the Loess Plateau-the implication from the Heitai</b>

description: In order to carry out an analysis of the hydrological process.
DOI: 10.6084/m9.figshare.24634041.v1
title: <b>Effects of human and tectonic activities on groundwater in the Loess Plateau-the implication from the Heitai</b>

description: In order to carry out an analysis of the hydrological process.
DOI: 10.5281/zenodo.8414944
title: 26 December 2018 surface ruptures along the eastern flank of Mt. Etna

description: This dataset includes two shape files with ground breaks observed on Mt. Etna after the 26 December 2018 earthquake and aseismic creep event, in particular:



	
the surface faulting, along the Fleri, Fiandaca, Aci Catena and Aci Platani faults;
	
the ground breaks related to slope instabilities;



The shape files have a database with informations on: strike, length (m), heave (i.e., horizontal displacement in cm), throw (i.e., vertical displacement in cm), strike-slip (cm), net slip displacement (cm), kinematics, slip trend and plunge from certain piercing points.


The dataset is an updated and an upgrade of the one associated with the paper: "Fault rupture and aseismic creep accompanying the December 26, 2018, Mw 4.9 Fleri earthquake (Mt. Etna, Italy): Factors affecting the surface faulting in a volcano-tectonic environment" by G. Tringali, Bella, D., Livio F., Ferrario M. F., Groppelli G., Blumetti A.M., Di Manna P., Vittori T., Guerrieri L., Porfido S., Boso D., Pettinato R., Paradiso G., Michetti A.M. (https://doi.org/10.1016/j.quaint.2021.12.019).
DOI: 10.5281/zenodo.8414945
title: 26 December 2018 surface ruptures along the eastern flank of Mt. Etna

description: This dataset includes two shape files with ground breaks observed on Mt. Etna after the 26 December 2018 earthquake and aseismic creep event, in particular:



	
the surface faulting, along the Fleri, Fiandaca, Aci Catena and Aci Platani faults;
	
the ground breaks related to slope instabilities;



The shape files have a database with informations on: strike, length (m), heave (i.e., horizontal displacement in cm), throw (i.e., vertical displacement in cm), strike-slip (cm), net slip displacement (cm), kinematics, slip trend and plunge from certain piercing points.


The dataset is an updated and an upgrade of the one associated with the paper: "Fault rupture and aseismic creep accompanying the December 26, 2018, Mw 4.9 Fleri earthquake (Mt. Etna, Italy): Factors affecting the surface faulting in a volcano-tectonic environment" by G. Tringali, Bella, D., Livio F., Ferrario M. F., Groppelli G., Blumetti A.M., Di Manna P., Vittori T., Guerrieri L., Porfido S., Boso D., Pettinato R., Paradiso G., Michetti A.M. (https://doi.org/10.1016/j.quaint.2021.12.019).
DOI: 10.57967/hf/1390
title: HausaLexicons
DOI: 10.5281/zenodo.10206180
title: China's interprovincial power transmission matrices

description: China's interprovincial power transmission matrices 2008-2020
DOI: 10.5281/zenodo.10206179
title: China's interprovincial power transmission matrices

description: China's interprovincial power transmission matrices 2008-2020
DOI: 10.23708/qulxtc
title: HYDROTHIEM observatory: pathogenic leptospirosa and hydrological data collected under SPIraL project, 2020-2023

description: The SPIraL project "Soils, rainfall and leptospirosis", funded by the French National Research Agency (ANR) partly took part in the HYDROTHIEM observatory (eastern tropical coast of New Caledonia, in the South West Pacific) where it was devoted to the relationships between hydrological variables and pathogen Leptospira concentration at the CAPT station, located at the outlet of a 3.1 km2 watershed. Details on the HYDROTHIEM observatory are given in Genthon et al., 2022, doi:10.1016/j.ejrh.2022.101223 and a first set of hydrological data can be found in the HYDROTHIEM dataset in DataSuds repository. Additional hydrological data, starting from Feb. 2021 as well pathogen Leptospira concentrations measured at the CAPT station are provided here.
DOI: 10.6084/m9.figshare.24634086
title: 20231126_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24634086.v1
title: 20231126_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.15156/bio/2959321
title: First records of bryophilous myxomycetes in the lowlands of Ukraine reveal  an undescribed species of Lamproderma

description: Bryophilous myxomycetes are found mainly in humid mountainous regions, particularly in the Ukrainian Carpathians. Three species of bryophilous myxomycetes (Colloderma oculatum, Diderma tigrinum and Lamproderma sp.) have been discovered in the Slobozhanskyi National Nature Park, a lowland region in the forest-steppe zone of north-eastern Ukraine. These findings indicate an expansion of the distribution of bryophilous myxomycetes beyond their typical montane and boreal habitats.
DOI: 10.5281/zenodo.10203999
title: Anonymous record hosting dataset for our submission
DOI: 10.5281/zenodo.10203998
title: Anonymous record hosting dataset for our submission
DOI: 10.34740/kaggle/dsv/7051409
title: Mahanagar Yatayat Transport Dataset
DOI: 10.34740/kaggle/dsv/7051428
title: MoviesDatasets
DOI: 10.6084/m9.figshare.24634107
title: Data files supporting the figures and analyses in Kong et al. - Melatonin Does Not Affect the Stress-Induced Phase Shifts of Peripheral Clocks in Male Mice

description: <b>Abstract</b>Repeated or chronic stress can change the phase of peripheral circadian rhythms. Melatonin is thought to be a circadian clock-controlled signal that might play a role in synchronizing peripheral rhythms, in addition to its direct suppressing effects on the stress axis. In this study we test whether melatonin can reduce the social-defeat stress induced phase shifts in peripheral rhythms, either by modulating circadian phase or by modulating the stress axis. Two experiments were performed with male melatonin deficient C57BL/6J mice carrying the circadian reporter gene construct (PER2::LUC). In the first experiment, mice received night-restricted (ZT11-21) melatonin in their drinking water, resulting in physiological levels of plasma melatonin peaking in the early dark phase. This treatment facilitated re-entrainment of the activity rhythm to a shifted light-dark cycle, but did not prevent the stress-induced (ZT21-22) reduction of activity during stress days. Also, this treatment did not attenuate the phase delaying effects of stress in peripheral clocks in the pituitary, lung and kidney. In a second experiment, pituitary, lung and kidney collected from naïve mice (ZT22-23), were treated with melatonin (Mel), dexamethasone (Dex), or a combination of the two. Dex application affected PER2 rhythms in the pituitary, kidney and lung, by changing period, phase or both. Administering Mel did not influence PER2 rhythms nor did it alleviate Dex-induced delays in PER2 rhythms in those tissues. We conclude that exogenous melatonin is insufficient to affect peripheral PER2 rhythms and reduce stress effects on locomotor activity and phase changes in peripheral tissues.