cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1323304.09fu
title: SH1323304.09FU

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/sh1323305.09fu
title: SH1323305.09FU

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/sh1323306.09fu
title: SH1323306.09FU

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/sh1323307.09fu
title: SH1323307.09FU

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/sh1323308.09fu
title: SH1323308.09FU

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/sh1323309.09fu
title: SH1323309.09FU

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/sh1323310.09fu
title: SH1323310.09FU

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/sh1323311.09fu
title: SH1323311.09FU

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/sh1323312.09fu
title: SH1323312.09FU

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: 10.25573/data.11799111.v2
title: Yearly Reports_Barro Colorado Island

description: Yearly climate summaries for the Smithsonian Tropical Research Institute's Physical Monitoring Program 'Clearing' and Lutz and Conrad Catchment stations on Barro Colorado Island, located in the middle of Gatun Lake, in the Rep. of Panama.<br><br>This report summarises data taken from two locations: a 48 m walk-up tower located within the Lutz catchment, and a small clearing (‘El Claro’) located among several laboratory buildings. The tower, with sensors at 10 m intervals, provides a vertical meteorological transect through the forest canopy. The Lutz catchment, located on the Northeast lope of BCI, and is probably typical of many small catchment areas on the island. The catchment encompasses 9.73 ha. The Lutz catchment is located immediately southwest of the laboratory clearing and dormitory area. The Clearing is a grass-covered area located near several laboratory buildings. The station is located in the northwest corner of the Clearing in a fenced in area measuring approximately 189cm x 183cm.
DOI: 10.6084/m9.figshare.13182401
title: Feraco et al., 2022 "An integrated model of school students’ academic achievement and life satisfaction. Linking soft skills, extracurricular activities, self-regulated learning, motivation, and emotions"

description: The dataset includes all the data used for the study. In particular, it includes standardized total scores for:- 6 soft skills (adaptability, curiosity, initiative, leadership, perseverance, social awareness)- soft skills total- self-regulated learning (SRL)- scholastic motivation- cognitive abilities - years of extracurricular activities (ECA)- life satisfaction- grades (mean of italian, math, foreign language and science) - positive and negative affects (PA, NA)<br>and the age of the participants
DOI: 10.6084/m9.figshare.12401168.v10
title: The Brain Hierarchy Score

description: Here we provide data used in Nonaka, Majima, Aoki, & Kamitani (2021) Brain hierarchy score: Which deep neural networks are hierarchically brain-like? <i>iScience</i>.<br><br>See also https://github.com/KamitaniLab/BHscore.<br><br>History:<br><br>2021-12-24 Add encoding accuracy data (encoding_accuracy.zip)<br><br>2020-08-08 Add DNN unit activation data (features-*.zip)<br><br>2020-08-03 Update directory organization in decoding_accuracy.zip<br>
DOI: 10.48370/ofd/ptl3qu
title: Triphragmium ulmariae (de Candolle) Link, 2027

description: Fungarium Mikromycetes
DOI: 10.6084/m9.figshare.18537804.v1
title: Anisotropic super-hardness of hexagonal WB<sub>2±<i>z</i></sub> thin films

description: Transition metal diboride-based thin films are promising candidates to replace state-of-the-art protective and functional coating materials due to their unique properties. Here, we focus on hexagonal WB<i><sub>2-z</sub></i>, showing that the AlB<i><sub>2</sub></i> structure is stabilized by B vacancies exhibiting its energetic minima at sub-stoichiometric WB<i><sub>1.5</sub></i>. Nanoindentation reveals super-hardness of 0001 oriented α-WB<i><sub>2-z</sub></i> coatings, linearly decreasing by more than 15 GPa with predominant 101¯1 orientation. This anisotropy is attributed to differences in the generalized stacking fault energy of basal and pyramidal slip systems, highlighting the feasibility of tuning mechanical properties by crystallographic orientation relations. First report of an anisotropic elastoplastic behaviour in super-hard PVD AlB<i><sub>2</sub></i> structured WB<i><sub>2-z</sub></i>. Theoretical and experimental verification of thermodynamically most stable sub-stoichiometric α-WB<i><sub>2-z</sub></i> coatings by structural and mechanical analysis.
DOI: 10.5281/zenodo.5873147
title: How to Swoop and Grasp like a Bird with a Passive Claw for High-Speed Grasping

description: This dataset corresponds to the publication: "How to Swoop and Grasp like a Bird with a Passive Claw for High-Speed Grasping" W. Stewart, E. Ajanic, M. M¨uller, and D. Floreano. Transactions on Mechatronics.
DOI: 10.5281/zenodo.5873146
title: How to Swoop and Grasp like a Bird with a Passive Claw for High-Speed Grasping

description: This dataset corresponds to the publication: "How to Swoop and Grasp like a Bird with a Passive Claw for High-Speed Grasping" W. Stewart, E. Ajanic, M. M¨uller, and D. Floreano. Transactions on Mechatronics.
DOI: 10.5281/zenodo.5872706
title: Accipiter cirrocephalus SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5872705
title: Accipiter cirrocephalus SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.18610529
title: original data.xlsx

description: Clinical data between patients with primary aldosteronism and Bartter and Gitelman syndrome.
DOI: 10.6084/m9.figshare.18610529.v1
title: original data.xlsx

description: Clinical data between patients with primary aldosteronism and Bartter and Gitelman syndrome.
DOI: 10.6073/pasta/9ac8a48ecafa0762f38b0ef68a522c74
title: Temperature and floral density data from seven study sites around the Rocky Mountain Biological Laboratory, Colorado: 2013-2021

description: Data were collected as part of a study of population dynamics of solitary, cavity-nesting Hymenoptera. Nesting structures (“trap-nests”) were established at five study sites along an elevational gradient around the Rocky Mountain Biological Laboratory in 2013. Two additional study sites were added in 2014, and one of the original study sites was dropped at the end of 2015. At each site, a HOBO data-logger placed under a centrally located trap-nest records air temperatures hourly. Floral densities are recorded at each site, typically 1-2 times per week, throughout the growing season, for specific plant taxa known to be used as pollen sources by cavity-nesting bees.
DOI: 10.5281/zenodo.5869798
title: Visualization results of Kinase-Ligand complex based on deep learning prediction score

description: It contains all the validation results used in the manuscript "Global analysis of deep learning prediction using large-scale in-house kinome-wide profiling data". "ligand_list.smi" shows the compound structure information for each ligand, and the ligand atom weighting results for each target are stored in the "Targets" folder. PyMol can be used to visualize the results by using "load.py" (see readme for how to run it).
DOI: 10.5281/zenodo.5869797
title: Visualization results of Kinase-Ligand complex based on deep learning prediction score

description: It contains all the validation results used in the manuscript "Global analysis of deep learning prediction using large-scale in-house kinome-wide profiling data". "ligand_list.smi" shows the compound structure information for each ligand, and the ligand atom weighting results for each target are stored in the "Targets" folder. PyMol can be used to visualize the results by using "load.py" (see readme for how to run it).
DOI: 10.5281/zenodo.5836943
title: Dataset for "All field emission models are wrong, ... but are any of them useful?"

description: The dataset are in jupyter format for python. It needs for instance to install anaconda <strong>I) The value of kappa at 4.6eV.ipynb </strong> This file presents the data and calculations of the section III A of the article concerning the different method to calculate kappa. It includes also the data to plot Fig. 1 <strong>II) The value of kappa in the low range field.ipynb </strong> This file presents the data and fit of the section III B of the article. It includes also the data to plot Fig. 2 <strong>III) The value of kappa at 4.6eV longfield range.ipynb </strong> This file presents the data and calculations of the section III C of the article concerning the different method to calculate kappa in a higher field range. It includes also the data to plot Fig. 3 <strong>IV) Is it possible to separate phi and beta.ipynb </strong> This file presents the data and calculations of the section IV of the article concerning the fact that different emitters can have very similar plots. It includes also the data to plot Fig. 4,5,6,7.
DOI: 10.6084/m9.figshare.18070421.v1
title: Supplementary Data for "A numerical algorithm for modeling cellular rearrangements in tissue morphogenesis" by R.Z. Mohammad, H. Murakawa, K. Svadlenka, and H. Togashi

description: <b>Supplementary Data 1. </b>Dataset used to generate Figures 3b and 3f: Plot of relative intensity of β-catenin accumulations at OO, OS, and SS junctions during cellular rearrangements of WT and αN-catenin KO olfactory epithelia, obtained by interpolation of β-catenin intensity mean values at time instants E14, E16, E18 and P1.<br><b>Supplementary Data 2. </b>Dataset used to generate Figures 3d, 3h, and 4c: Box plots of cell neighbor counts obtained from actual images WT and αN-catenin KO olfactory epithelia at time instants E14, E16, and P1; from their corresponding simulation images; and from WT simulation with hypothetical P1 tension values.<br><b>Supplementary Data 3.</b> Dataset used to generate Figure 4a: Plot of evolution of interfacial tensions based on measurements up to embryonic stage E18 but is selected hypothetically for postnatal stage P1.<br><br><b>Supplementary Data 4.</b> Dataset used to generate Figure 5e: Plot of evolution of interfacial tensions at SS, HS, and HH junctions used in WT and Nectin-3 KO simulations of an embryonic auditory epithelium.<br><br><b>Supplementary Data 5.</b> Dataset used to generate Supplementary Figure 4b and 4c: Log-log plot of relative error of mean radius of growing circles and shrinking circles at t = 0.01875 for varying mesh-time configurations.<br><b>Supplementary Data 6.</b> Dataset used to generate Supplementary Figure 5d and 5e: Log-log plot of relative error in radius of the best fitted circle to each interface and relative error in contact angles at triple junction for varying mesh-time configurations.<br><b>Supplementary Data 7.</b> Dataset used to generate Supplementary Figure 6c: Plot of evolution of the magnitude of contact angle measured across topology change for varying mesh-time configurations.<br><br><b>Supplementary Data 8.</b> Dataset used to generate Supplementary Figures 8d-f and 9: Plot of evolution of OO-junction length, total and surface energy, and error in cell volumes for vertex dynamics model with volume penalties ρ = 500 and ρ =100; and level-set based method.<br><br><b>Supplementary Data 8.</b> Dataset used to generate Supplementary Figures 11: Log-log plots of CPU times for executing the vertex dynamics algorithm on test case A (with topology change) and test case B (without topology change), showing increased cost when T1-swap is present.<br><br><br>
DOI: 10.25405/data.ncl.17430023
title: Understand the role of HBV infection in the development of breast cancer

description: Information of exosomal expression of miRNAs (expression profiles of GSE33857) were acquired from the Gene Expression Omnibus (GEO) database. Targeted genes of this miRNAs and the differentially expressed genes of breast cancer in GEPIA V2.0 database was used to obtain the differentially expressed genes (DEGs). Four analytic methods were performed, including functional annotation, protein-protein interaction (PPI) network and module construction, the clinical pathologic parameters analysis, alongsides prognosis analysis.
DOI: 10.25405/data.ncl.17430023.v3
title: Understand the role of HBV infection in the development of breast cancer

description: Information of exosomal expression of miRNAs (expression profiles of GSE33857) were acquired from the Gene Expression Omnibus (GEO) database. Targeted genes of this miRNAs and the differentially expressed genes of breast cancer in GEPIA V2.0 database was used to obtain the differentially expressed genes (DEGs). Four analytic methods were performed, including functional annotation, protein-protein interaction (PPI) network and module construction, the clinical pathologic parameters analysis, alongsides prognosis analysis.
DOI: 10.25405/data.ncl.17430023.v2
title: Understand the role of HBV infection in the development of breast cancer

description: Female patients with hepatitis B virus (HBV) infection have a higher incidence and poorer prognosis of breast cancer. There was a significant difference in the expression of miRNAs in serum exosomes between female patients with or without HBV infection. Whether this difference accounted for the different incidence and progression of breast cancer were not appreciated. We analysed changes in miRNAs in exosomes of HBV-infected female patients and found that miR-1237-3p and miR-363-3p were down-regulated, whereas miR-100-5p, miR-125b-5p, miR-1260a, miR-1287-5p, miR-148a-3p, miR-885-5p and miR-99a-5p were up-regulated. We overlapped the target genes of these miRNAs with the differentially altered genes in breast cancer tissues to derive the differentially expressed genes (DEGs). The biological functions of the DEGs were closely related to breast cancer development. The hub genes to the DEGs included CXCL11, CXCL12, GNG2, LPAR1, GPR17, CXCL1, ADCY5, ADCY3, CX3CL1, and S1PR1. Differential expression of the hub genes lead to worse clinicopathological types and poorer prognosis.We obtained similar results in clinical samples. In conclusion, female patients with HBV infection may affect the expression of miRNAs in serum exosomes to regulate the target genes in breast tissues, this mechanism will improve the occurrence and development of breast cancer and lead to poor prognosis.
DOI: 10.5281/zenodo.4592481
title: Differential regulation and production of secondary metabolites among isolates of the fungal wheat pathogen Zymoseptoria tritici

description: The files are antiSMASH analyses of the three field isolates Zt10, IPO323 and Zt05.
DOI: 10.5281/zenodo.4592480
title: Differential regulation and production of secondary metabolites among isolates of the fungal wheat pathogen Zymoseptoria tritici

description: The files are antiSMASH analyses of the three field isolates Zt10, IPO323 and Zt05.