cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0950683.09fu
title: SH0950683.09FU

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/sh0950684.09fu
title: SH0950684.09FU

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/sh0950685.09fu
title: SH0950685.09FU

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/sh0950686.09fu
title: SH0950686.09FU

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/sh0950687.09fu
title: SH0950687.09FU

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/sh0950688.09fu
title: SH0950688.09FU

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/sh0950689.09fu
title: SH0950689.09FU

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/sh0950690.09fu
title: SH0950690.09FU

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/sh0950691.09fu
title: SH0950691.09FU

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: 10.5285/beda45d1-dd33-4666-8861-b4b91af0180f
title: Simulated changes in East Antarctic mass balance and grounded area in response to a shift to circumpolar deep water forced melting from the present-day oceanic regime

description: The dataset contains processed model output of future simulations of the East Antarctic Ice Sheet using the Ua ice dynamics model (https://github.com/GHilmarG/UaSource). Simulations were run for 200 years comparing the impact of both an intermediate (RCP4.5 emissions scenario) and extreme (RCP8.5 emissions scenario) as well as maintaining the current oceanic regime or switching to one dominated by circumpolar deep water intrusions. A reference run with constant present-day forcing is also included to assess the relative impacts of the various forcing scenarios. This work was primarily funded by the Natural Environment Research Council, grant number NE/R000719/1. James Jordan, Hilmar Gudmundsson and Adrian Jenkins received funding from the European Union's Horizon 2020 research and innovation program under grant agreement no. 869304, PROTECT. Bertie Miles was also supported by a Leverhulme Early Career Fellowship (ECF-2021-484).
description: Data was obtained from numerical simulations using the Ua ice dynamics model (https://github.com/GHilmarG/UaSource, version Ua2019b). Bedrock bathymetry and initial ice thickness was provided by the BedMachine dataset (Morlighem et al 2020), Ice shelf melt rates were determined by using a modified version of the PICO (Potsdam Ice-shelf Cavity mOdel (Reese et al., 2018). Precipitation was determined by scaling the RACMO v 2.3 (Regional Antarctic Climate Model) dataset (Van Wessem et al., 2014). Results provided are time series of total ice volume, ice volume above floatation and grounded ice area for the entire model domain as well as drainage basins corresponding to the IMBIE 2016 definition of East Antarctica (Zwally2012).
description: Simulations were performed using the Ua ice dynamics model (https://github.com/GHilmarG/UaSource, version Ua2019b). Post processing of data was performed using MATLAB version R2021a.
description: To account for model bias a baseline run with constant forcing was performed. To account for errors in the ocean and atmospheric forcing applied two further runs were performed for each emission scenario, a "positive bias" mass balance (high precipitation, low ocean melting) and "negative bias" mass balance (low precipitation, high ocean melting) to capture the envelope of expected results.
DOI: 10.23729/22e19850-c7f0-47a4-8439-7127e1a33cc5
title: Oulu Geopolymer

description: Novel geopolymers imaged to investigate their internal structure. Results are included in Yu, Y., Perumal, P., Corfe, I.J., Paul, T., Illikainen, M., and Luukkonen, T., 2023. Combined granulation-alkali activation-direct foaming process: A novel route to porous geopolymer granules with enhanced adsorption properties. Materials & Design 227: 111781. https://doi.org/10.1016/j.matdes.2023.111781 Preview dataset found at https://doi.org/10.23729/874c0c47-cdf6-46ea-aa9f-822fb2f566ef . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.5281/zenodo.7789036
title: CHEK To-be Digital Building Permit process map

description: To-be process map for digital building permit process as developed within the HORIZON EUROPE project 'Change toolkit for Digital Building Permit' (CHEK) https://chekdbp.eu It is described in the CHEK project deliverable D1.1. This project has received funding from the European Union’s Horizon Europe programme under Grant Agreement No.101058559 The file is provided in<br> - SVG format, open vector editable format;<br> - Visio format, proprietary but editable format;<br> - PDF format.
description: {"references": ["Siegele et al. (2023). CHEK DBP Process map. CHEK Deliverable 1.1. V1.0"]}
DOI: 10.5281/zenodo.7789035
title: CHEK To-be Digital Building Permit process map

description: To-be process map for digital building permit process as developed within the HORIZON EUROPE project 'Change toolkit for Digital Building Permit' (CHEK) https://chekdbp.eu It is described in the CHEK project deliverable D1.1. This project has received funding from the European Union’s Horizon Europe programme under Grant Agreement No.101058559 The file is provided in<br> - SVG format, open vector editable format;<br> - Visio format, proprietary but editable format;<br> - PDF format.
description: {"references": ["Siegele et al. (2023). CHEK DBP Process map. CHEK Deliverable 1.1. V1.0"]}
DOI: 10.34740/kaggle/dsv/5302365
title: YouTube Daily
DOI: 10.21227/rers-ck04
title: IIITM Face Emotion

description:  With the expansion of machine learning and deep learning technology, facial expression recognition methods have become more accurate and precise. However, in a real case scenario, the presence of facial attributes, weakly posed expressions and variation in viewpoint can significantly reduce the performance of those systems designed only for frontal faces without facial attributes. A facial landmark distance-based model is proposed in this paper to explore a new method that can effectively recognize emotions in oriented faces with facial attributes. The proposed model computes distance-based features utilizing the inter-spaces between facial landmarks generated by a face mesh algorithm from pre-processed images. These features are normalized and ranked to find the optimal features for classifying emotions. The experimental results exhibit that the proposed model can effectively classify different emotions in the IIITM Face dataset with an overall accuracy of 61% using the SVM classifier (vertically oriented with different facial attributes). The model also classifies emotions posed in front, up, and down orientations with 70%, 58%, and 55% accuracy, respectively. The efficacy test of the model on laterally oriented faces from the KDEF database results in an overall accuracy of 80%. Comparison with the existing CNN and facial landmark-based method reveals that the proposed model exhibits an improved recognition rate for the oriented viewpoints with facial attributes. Considering the results of the proposed model, it is apparent that vertical viewpoints, forcing level of expression, and facial attributes can limit the performance of emotion recognition algorithm in realistic situations.
DOI: 10.6084/m9.figshare.22495567
title: Data.zip

description: The three-dimensional magnetic structure of the Yangtze River basin was determined using three-dimensional oblique magnetization regularization inversion with high-precision total magnetic anomalies. Large magnetic bodies of varying thickness exist under the Yangtze River basin. The thickness variation of the magnetic layers, which is thin in the north and thick in the south, reflects the crust’s deep tectonic framework. The results do not suggest that the Tan–Lu fault extends southward through the Yangtze River basin. Furthermore, these findings support that the southeast subduction mode of the North China Block in relation to the Yangtze block and the Jiangnan orogenic belt is related to underplating.
DOI: 10.6084/m9.figshare.22495567.v1
title: Data.zip

description: The three-dimensional magnetic structure of the Yangtze River basin was determined using three-dimensional oblique magnetization regularization inversion with high-precision total magnetic anomalies. Large magnetic bodies of varying thickness exist under the Yangtze River basin. The thickness variation of the magnetic layers, which is thin in the north and thick in the south, reflects the crust’s deep tectonic framework. The results do not suggest that the Tan–Lu fault extends southward through the Yangtze River basin. Furthermore, these findings support that the southeast subduction mode of the North China Block in relation to the Yangtze block and the Jiangnan orogenic belt is related to underplating.
DOI: 10.5281/zenodo.7794458
title: Data. Efficacy of Thai Oscheius to insect pests

description: Data. Efficacy of Thai Oscheius to insect pests
DOI: 10.5281/zenodo.7794457
title: Data. Efficacy of Thai Oscheius to insect pests

description: Data. Efficacy of Thai Oscheius to insect pests
DOI: 10.6084/m9.figshare.22495594
title: Autophagy activating drug repurposing based on context-specific network for Parkinson’s disease

description: Background: Parkinson's disease (PD) is a major long-term degenerative disease that affects the motor system. Parkinson's disease has been increasing over the past 30 years, despite ongoing research and efforts at drug development. The reason is that previous drug development for Parkinson's disease has mainly focused on recovering dopamine levels, which only provides short-term relief. The treatment of PD requires a fundamental approach to treatment. Recent studies prove that misfolded protein aggregation causes mitochondria dysfunction and neuroinflammation so the elimination of the misfolded protein should offer an effective long-term treatment for Parkinson's disease. A promising mechanism to eliminate the misfolded protein is autophagy. Results: We developed a pipeline to identify autophagy-inducing candidate drugs for Parkinson's disease based on Parkinson's disease-specific network and the relationship between drug targets and core autophagy genes. We found 3 autophagy-related genes using RWR algorithm and six drug-repurposing candidates to PD. Conclusions: Our drug repurposing pipeline provides that candidate drugs that show a notable possibility for fundamental PD treatment by activating the autophagy mechanism.
DOI: 10.5519/qd.o9rjz4fh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (454345 records)
DOI: 10.34740/kaggle/dsv/5302699
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.22193338.v1
title: Supplementary Material for: A novel glycolysis-related signature for predicting the prognosis and immune infiltration of uveal melanoma

description: Introduction As the most common aggressive intraocular cancer in adults, uveal melanoma (UVM) threatens the survival and vision of many people. Glycolysis is a novel hallmark of cancer, but the role of glycolysis-related genes in UVM prognosis remains unknown. The purpose of the study was to establish a glycolysis-related gene signature (GRGS) to predict UVM prognosis. Methods Raw data were obtained from TCGA-UVM and GSE22138 datasets. The GRGS was established by univariate, LASSO and multivariate Cox regression analyses. Kaplan‒Meier survival and time-dependent receiver operating characteristic curves were used to evaluate the predictive ability of the GRGS. The relationships of the GRGS with infiltrating immune cell levels and mutations were analyzed with CIBERSORT and maftools. Results A novel GRGS (risk score = 0.690861*ISG20 +0.070991*MET -0.227520*SDC2 +0.690223*FBP1 +0.048008*CLN6-0.128520* SDC3) was developed for predicting UVM prognosis. The GRGS had robust predictive stability in UVM. Enrichment annotation suggested that the high-risk group had stronger adaptive immune responses and that the low-risk group had more innate immune cell infiltration. Moreover, BAP1 mutation was related to high risk, and SF3B1 mutation was related to low risk. Conclusions This study developed and validated a novel GRGS to predict UVM prognosis and immune infiltration. The signature revealed an association between glycolysis-related genes and the tumor microenvironment, providing new insights into the role of glycolysis in UVM.
DOI: 10.6084/m9.figshare.22495498
title: Data_MorphoDiv

description: Data used to do the MorphoDiv analysis of time series of zooplankton morphological diversity.
DOI: 10.6084/m9.figshare.22495498.v1
title: Data_MorphoDiv

description: Data used to do the MorphoDiv analysis of time series of zooplankton morphological diversity.
DOI: 10.20387/bonares-74eg-c960
title: Sulfur-enriched bone char enhances P uptake by maize in a perennial pot experiment
DOI: 10.5281/zenodo.7751104
title: F1000

description: the file consists of data of preventive and interceptive treatment needs in three age groups calculated according to the index for preventive and interceptive orthodontic treatment needs (IPION-6,9, and 12).
DOI: 10.5281/zenodo.7751103
title: F1000

description: the file consists of data of preventive and interceptive treatment needs in three age groups calculated according to the index for preventive and interceptive orthodontic treatment needs (IPION-6,9, and 12).
DOI: 10.15156/bio/2560638
title: Phylogenetic relationships, taxonomic novelties, and combinations within Stictidaceae (Ostropales, Lecanoromycetes, Ascomycota): focus on Absconditella