cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1010092.10fu
title: SH1010092.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1010093.10fu
title: SH1010093.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1010094.10fu
title: SH1010094.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1010095.10fu
title: SH1010095.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1010096.10fu
title: SH1010096.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.f452ce
title: Occurrence Download

description: A dataset containing 7169 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amaranthus caudatus L."
 ]
}

 The dataset includes 7169 records from 449 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116074-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/1li57z/qgmtgd
title: VI_LA_plots_results.tab

description: :unav
DOI: 10.6084/m9.figshare.14852472
title: The evolution of brain neuron numbers in amniotes

description: Dataset S1 contains data on numbers of neurons and other cells in whole brain and major brain parts in 37 species of birds and 108 species of reptiles. %NeuN: percentage of NeuN positive cells in the brain parts; N/mg: number of neurons per mg of tissue; O/mg: number of non-neurons per mg of tissue; % of brain mass: percentage of the whole brain by mass; % of brain neurons: percentage of the whole brain by number of neurons; % of brain nonneuronal cells: percentage of the whole brain by number of non-neurons. Dataset S2 contains data on brain mass and body mass for 149 reptiles species.
DOI: 10.48370/ofd/lk7xdu
title: Marchandiobasidium aurantiacum Diederich Schultheis, 1792

description: Fungarium Macromycetes
DOI: 10.25678/00052e
title: Data for: The distribution and spread of quagga mussels in perialpine lakes north of the Alps

description: The dreissenid quagga Dreissena bugensis and zebra D. polymorpha mussels are invasive freshwater mussels in Europe and North America. These species strongly impact aquatic ecosystems, such as the food web through their high abundance, filtration rate. They spread quickly within and between waterbodies, and have the ability to colonize various substrates and depths. The zebra mussel invaded and established in Swiss lakes in the 1960s, whereas the quagga mussel was not detected until 2014. We collected all available data from cantonal as well as local authorities and other institutions to describe the colonization pattern of quagga mussels in Switzerland. We also collected data regarding the distribution of larval stages of the mussels, the so-called veliger larvae. We observed that in lakes colonized by the quagga mussel, veligers are present the whole year round, whereas they are absent in winter in lakes with only zebra mussels. Additionally, we present detailed information about the invasion and colonization pattern of quagga mussels in Lake Constance. Quagga mussels colonized the lakeshore within a few years (~ 2016-2018) and outcompeted zebra mussels, and have reached densities &gt; 5000 ind. m-2 in the littoral zone, even at 80 m densities above 1000 ind. m-2 were found at some locations. At the end of the article, we discussed possibilities on how the spread of quagga mussels within and among northern perialpine lakes should be monitored and prevented in the future.
DOI: 10.17632/52bhwgf3wh.1
title: Supplementary information S2 movies

description: Supplementary Information 2. Representative movies of the phase contrast and epifluorescence (reporting sfGFP(Sp) expressed from the TnJM1 transposon inserted into the indicated genes) channels of reconstructed mutants grown on MOPS agarose pads. Due to differences in fluorescence expression among the isolated clones, image brightness was adjusted for each mutant separately and fluorescence intensity can therefore not be compared between videos.
DOI: 10.6084/m9.figshare.19328858
title: Utility of indocyanine green videoangiography with FLOW 800 analysis in brain tumour resection as a venous protection technique

description: patient information
DOI: 10.6084/m9.figshare.19328879
title: Data for 'Large-scale flow in a cubic Rayleigh–Bènard cell: Long-term turbulence statistics and Markovianity of macrostate transitions'

description: We investigate the large-scale circulation (LSC) in a turbulent Rayleigh–Bénard convection flow in a cubic closed convection cell by means of direct numerical simulations at a Rayleigh number Ra=10<sup>6</sup>. The numerical studies are conducted for a single flow trajectory up to 10<sup>5</sup> convective free-fall times to obtain a sufficient sampling of the four discrete LSC states, which can be summarized to one macrostate, and the two crossover configurations which are taken in between for short periods. It is found that the statistics and time history depends strongly on the Prandtl number Pr of the working fluid which has values of 0.1, 0.7 and 10. It changes from very rapid switches for the lowest Prandtl number to the spontaneous lock in one of the four states for the whole period for the largest one. Alternatively, we run an ensemble of 3600 short-term direct numerical simulations to study the transition probabilities between the discrete LSC states. This second approach is also used to probe the Markov property of the dynamics. Our ensemble analysis gave strong indication of Markovianity of the transition process from one LSC state to another, even though the data are still accompanied by considerable noise. It is based on the eigenvalue spectrum of the transition probability matrix, further on the distribution of persistence times and the joint distribution of two successive macrostate persistence times.This article is part of the theme issue ‘Mathematical problems in physical fluid dynamics (part 1)’.
DOI: 10.6084/m9.figshare.19328879.v1
title: Data for 'Large-scale flow in a cubic Rayleigh–Bènard cell: Long-term turbulence statistics and Markovianity of macrostate transitions'

description: We investigate the large-scale circulation (LSC) in a turbulent Rayleigh–Bénard convection flow in a cubic closed convection cell by means of direct numerical simulations at a Rayleigh number Ra=10<sup>6</sup>. The numerical studies are conducted for a single flow trajectory up to 10<sup>5</sup> convective free-fall times to obtain a sufficient sampling of the four discrete LSC states, which can be summarized to one macrostate, and the two crossover configurations which are taken in between for short periods. It is found that the statistics and time history depends strongly on the Prandtl number Pr of the working fluid which has values of 0.1, 0.7 and 10. It changes from very rapid switches for the lowest Prandtl number to the spontaneous lock in one of the four states for the whole period for the largest one. Alternatively, we run an ensemble of 3600 short-term direct numerical simulations to study the transition probabilities between the discrete LSC states. This second approach is also used to probe the Markov property of the dynamics. Our ensemble analysis gave strong indication of Markovianity of the transition process from one LSC state to another, even though the data are still accompanied by considerable noise. It is based on the eigenvalue spectrum of the transition probability matrix, further on the distribution of persistence times and the joint distribution of two successive macrostate persistence times.This article is part of the theme issue ‘Mathematical problems in physical fluid dynamics (part 1)’.
DOI: 10.6084/m9.figshare.19328882.v1
title: Supplementary material for 'Large-scale flow in a cubic Rayleigh–Bènard cell: Long-term turbulence statistics and Markovianity of macrostate transitions'

description: We investigate the large-scale circulation (LSC) in a turbulent Rayleigh–Bénard convection flow in a cubic closed convection cell by means of direct numerical simulations at a Rayleigh number Ra=10<sup>6</sup>. The numerical studies are conducted for a single flow trajectory up to 10<sup>5</sup> convective free-fall times to obtain a sufficient sampling of the four discrete LSC states, which can be summarized to one macrostate, and the two crossover configurations which are taken in between for short periods. It is found that the statistics and time history depends strongly on the Prandtl number Pr of the working fluid which has values of 0.1, 0.7 and 10. It changes from very rapid switches for the lowest Prandtl number to the spontaneous lock in one of the four states for the whole period for the largest one. Alternatively, we run an ensemble of 3600 short-term direct numerical simulations to study the transition probabilities between the discrete LSC states. This second approach is also used to probe the Markov property of the dynamics. Our ensemble analysis gave strong indication of Markovianity of the transition process from one LSC state to another, even though the data are still accompanied by considerable noise. It is based on the eigenvalue spectrum of the transition probability matrix, further on the distribution of persistence times and the joint distribution of two successive macrostate persistence times.This article is part of the theme issue ‘Mathematical problems in physical fluid dynamics (part 1)’.
DOI: 10.6084/m9.figshare.19328882
title: Supplementary material for 'Large-scale flow in a cubic Rayleigh–Bènard cell: Long-term turbulence statistics and Markovianity of macrostate transitions'

description: We investigate the large-scale circulation (LSC) in a turbulent Rayleigh–Bénard convection flow in a cubic closed convection cell by means of direct numerical simulations at a Rayleigh number Ra=10<sup>6</sup>. The numerical studies are conducted for a single flow trajectory up to 10<sup>5</sup> convective free-fall times to obtain a sufficient sampling of the four discrete LSC states, which can be summarized to one macrostate, and the two crossover configurations which are taken in between for short periods. It is found that the statistics and time history depends strongly on the Prandtl number Pr of the working fluid which has values of 0.1, 0.7 and 10. It changes from very rapid switches for the lowest Prandtl number to the spontaneous lock in one of the four states for the whole period for the largest one. Alternatively, we run an ensemble of 3600 short-term direct numerical simulations to study the transition probabilities between the discrete LSC states. This second approach is also used to probe the Markov property of the dynamics. Our ensemble analysis gave strong indication of Markovianity of the transition process from one LSC state to another, even though the data are still accompanied by considerable noise. It is based on the eigenvalue spectrum of the transition probability matrix, further on the distribution of persistence times and the joint distribution of two successive macrostate persistence times.This article is part of the theme issue ‘Mathematical problems in physical fluid dynamics (part 1)’.
DOI: 10.5281/zenodo.6340145
title: Raw Data for the article: Functional Gastrointestinal Disorders in Patients With Epilepsy: Reciprocal Influence and Impact on Seizure Occurrence

description: <strong>Introduction:</strong> The complex relationship between the microbiota-gut-brain axis (MGBA) and epilepsy has been increasingly investigated in preclinical studies. Conversely, evidence from clinical studies is still scarce. In recent years, the pivotal role of MGBA dysregulation in the pathophysiology of functional gastrointestinal disorders (FGID) has been recognized. With this background, we aimed to investigate the prevalence of FGID in patients with epilepsy (PWE) and the possible impact of bowel movement abnormalities on seizure recurrence. <strong>Methods:</strong> A total of 120 PWE and 113 age-, sex-, and BMI-matched healthy subjects (HS) were consecutively enrolled. A questionnaire to evaluate the presence of FGID (according to Rome III diagnostic criteria) was administrated to all participants. In a subgroup of drug-resistant patients, we administered an <em>ad-hoc</em> questionnaire combining Bristol stool charts and seizure diaries to evaluate seizure trends and bowel movement changes. <strong>Results:</strong> A higher prevalence of FGID in PWE (62.5%) than in HS (39.8%) was found (<em>p</em> &lt; 0.001). The most frequently observed disorder was constipation, which was significantly higher in PWE than in HS (43.3 vs. 21.2%, <em>p</em> &lt; 0.001), and was not associated with anti-seizure medication intake according to multivariable analysis. In drug-resistant patients, most seizures occurred during periods of altered bowel movements, especially constipation. A significant weak negative correlation between the number of days with seizures and the number of days with normal bowel movements was observed (<em>p</em> = 0.04). According to multivariable logistic regression analysis, FGID was significantly associated with temporal lobe epilepsy as compared with other lobar localization (<em>p</em> = 0.03). <strong>Conclusions:</strong> Our clinical findings shed new light on the complex relationship between epilepsy and the MGBA, suggesting a bidirectional link between bowel movement abnormalities and seizure occurrence. However, larger studies are required to better address this important topic.
DOI: 10.5281/zenodo.6340144
title: Raw Data for the article: Functional Gastrointestinal Disorders in Patients With Epilepsy: Reciprocal Influence and Impact on Seizure Occurrence

description: <strong>Introduction:</strong> The complex relationship between the microbiota-gut-brain axis (MGBA) and epilepsy has been increasingly investigated in preclinical studies. Conversely, evidence from clinical studies is still scarce. In recent years, the pivotal role of MGBA dysregulation in the pathophysiology of functional gastrointestinal disorders (FGID) has been recognized. With this background, we aimed to investigate the prevalence of FGID in patients with epilepsy (PWE) and the possible impact of bowel movement abnormalities on seizure recurrence. <strong>Methods:</strong> A total of 120 PWE and 113 age-, sex-, and BMI-matched healthy subjects (HS) were consecutively enrolled. A questionnaire to evaluate the presence of FGID (according to Rome III diagnostic criteria) was administrated to all participants. In a subgroup of drug-resistant patients, we administered an <em>ad-hoc</em> questionnaire combining Bristol stool charts and seizure diaries to evaluate seizure trends and bowel movement changes. <strong>Results:</strong> A higher prevalence of FGID in PWE (62.5%) than in HS (39.8%) was found (<em>p</em> &lt; 0.001). The most frequently observed disorder was constipation, which was significantly higher in PWE than in HS (43.3 vs. 21.2%, <em>p</em> &lt; 0.001), and was not associated with anti-seizure medication intake according to multivariable analysis. In drug-resistant patients, most seizures occurred during periods of altered bowel movements, especially constipation. A significant weak negative correlation between the number of days with seizures and the number of days with normal bowel movements was observed (<em>p</em> = 0.04). According to multivariable logistic regression analysis, FGID was significantly associated with temporal lobe epilepsy as compared with other lobar localization (<em>p</em> = 0.03). <strong>Conclusions:</strong> Our clinical findings shed new light on the complex relationship between epilepsy and the MGBA, suggesting a bidirectional link between bowel movement abnormalities and seizure occurrence. However, larger studies are required to better address this important topic.
DOI: 10.48370/ofd/py6mw5/bvakgy
title: 1798.S3Dm

description: :unav
DOI: 10.48370/ofd/py6mw5
title: Exidia cartilaginea S.Lundell Neuhoff, 1798

description: Fungarium Macromycetes
DOI: 10.5281/zenodo.6340065
title: A volumetric model of rabbit heart and torso including ECG data and ventricular activation sequence

description: Data generated and analyzed of our work titled "A computational model of rabbit geometry and ECG: Optimizing ventricular activation sequence and APD distribution". Please see the respective publication for more context. BSPM_filtered.dat Contains the filtered ECG Data BSPM_original.bdf Contains the originally recorded signal.<br> Information on the file format itself can be found here: https://www.biosemi.com/faq/file_format.htm<br> Links to various toolboxes to open the file can be found here: https://www.biosemi.com/download.htm CT_DataDCM.zip Contains the recorded CT images of heart and torso in DCM file format ECG_NodeIndices.txt Contains the the node IDs of the torso mesh corresponding to the electrode positions of the ECG Vest Endocardial_Surface_Papillary.stl Segmented endocardial surface including papillary muscles Mat_LeadField.dat Contains the calculated lead field matrix to be used in combination with the provided Mesh_Ven.vtu. Make sure to keep the node order <pre><code class="language-python"># Python example of usage # Define a read_vm_vec function which reads your calculated data beforehand import numpy as np t_begin = 0 t_end = 400 LF_mat = np.loadtxt('Mat_LeadField.dat') times = np.linspace(t_begin, t_end, t_end-t_begin) result = np.zeros((len(times), 31)) for i,t in enumerate(times): vm_vec = read_vm_vec(t) result[i, :] = LF_mat.dot(vm_vec)[0:31] result = np.insert(result, 0, times, axis=1) np.savetxt('BSPM.dat', result)</code></pre> Mesh_PurkinjeTree.vtp The resulting optimized Purkinje Node tree. We recommend using ParaView for visualization Mesh_StimPoints.vtp The resulting points of stimulation. Stim_IndexTime.dat Contains the stimulation pattern in terms the node index of Mesh_Ven.vtu and the respective stimulation time Mesh_Ven.vtu Contains the ventricular mesh as well as the repective lead field matrix values for each surface node. Material:<br> Right Ventricle 30<br> Left Ventricle 31 Mesh_Torso.vtu Contains the whole torso mesh. Material:<br> Fat 2<br> Bones 3<br> Blood 9<br> Cartilage 14<br> Liver 20<br> Lungs 17<br> Right Ventricle 30<br> Left Ventricle 31<br> Right Atrium 32<br> Left Atrium 33<br> Aorta 60<br> Pulmonary artery 61<br> Left Vena Jugularis 62<br> Right Vena Jugularis 62<br> Post Vena Cava 62
description: RM, GS and KEO gratefully acknowledge financial support by the Deutsche Forschungsgemeinschaft (DFG #394630089). EMW and GS gratefully acknowledge financial support by the Deutsche Forschungsgemeinschaft (DFG #183027722). RM, EMW, and GS are members of the Collaborative Research Centre SFB 1425 (DFG #422681845).
DOI: 10.25625/bxlgqj/o720na
title: VI_core_plots_results.tab

description: :unav
DOI: 10.34740/kaggle/dsv/3274036
title: HappyWhale species taxonomy