cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1705874.08fu
title: SH1705874.08FU

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/sh341501.07fu
title: SH341501.07FU

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/sh341502.07fu
title: SH341502.07FU

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/sh341503.07fu
title: SH341503.07FU

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/sh1705875.08fu
title: SH1705875.08FU

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/sh1705876.08fu
title: SH1705876.08FU

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/sh1705877.08fu
title: SH1705877.08FU

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/sh341504.07fu
title: SH341504.07FU

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/nvykg6
title: Two new species in the Russula (Russulaceae, Basidiomycota) crown clade from Indian Himalaya

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ghosh, Aniket, Das, Kanad, Buyck, Bart (2021): Two new species in the Russula (Russulaceae, Basidiomycota) crown clade from Indian Himalaya. European Journal of Taxonomy 782: 157-172, DOI: https://doi.org/10.5852/ejt.2021.782.1595, URL: http://dx.doi.org/10.5852/ejt.2021.782.1595
DOI: 10.5257/wb/wdi/2021q3
title: World Development Indicators (WDI) (2021Q3 Edition)

description: The World Development Indicators is a compilation of relevant, high-quality, and internationally-comparable statistics about global development and the fight against poverty. The database contains 1,600 time-series indicators for over 200 economies and more than 40 country groups, with data for many indicators going back more than 50 years.
DOI: 10.25345/c5hw1h
title: MassIVE MSV000088579 - Melanopsin (OPN4) is a novel oncogene in cutaneous melanoma: evidence from an experimental study
title: The goal of this study was to evaluate the role of OPN4 in melanoma development using in vitro, in vivo, and proteomics approaches.
DOI: 10.15468/hz5jyz
title: Rediscovering the rare short-winged unicorn katydid Toledopizia salesopolensis (Piza) (Tettigoniidae: Conocephalinae) from South and Southeastern Brazil: First description of male and bioacoustics

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fianco, Marcos, Engelking, Phillip Watzke, Tavares, Gustavo Costa (2021): Rediscovering the rare short-winged unicorn katydid Toledopizia salesopolensis (Piza) (Tettigoniidae: Conocephalinae) from South and Southeastern Brazil: First description of male and bioacoustics. Journal of Orthoptera Research 30 (2): 193-200, DOI: http://dx.doi.org/10.3897/jor.30.72513, URL: http://dx.doi.org/10.3897/jor.30.72513
DOI: 10.15468/mvchpd
title: Two new species of Phallus (Phallaceae) with a white indusium from China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Li, Ting, Deng, Wang-Qiu, Song, Bin, Zhang, Ming, Wang, Mu, Li, Tai-Hui (2021): Two new species of Phallus (Phallaceae) with a white indusium from China. MycoKeys 85: 109-125, DOI: http://dx.doi.org/10.3897/mycokeys.85.75309, URL: http://dx.doi.org/10.3897/mycokeys.85.75309
DOI: 10.15468/zvnn9j
title: A new combination in Pseudolappula (Boraginaceae, Rochelieae) based on morphological, molecular and palynological evidence

description: This dataset contains the digitized treatments in Plazi based on the original journal article Liu, Dan-Hui, Xu, Xue-Min, He, Yi, Liu, Quan-Ru (2021): A new combination in Pseudolappula (Boraginaceae, Rochelieae) based on morphological, molecular and palynological evidence. PhytoKeys 187: 77-92, DOI: http://dx.doi.org/10.3897/phytokeys.187.75346, URL: http://dx.doi.org/10.3897/phytokeys.187.75346
DOI: 10.15468/6rt52u
title: Morphological and molecular characterisation of the Popijac's Yellow Sally, Isoperla popijaci sp. nov., a new stenoendemic stonefly species from Croatia (Plecoptera, Perlodidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hlebec, Dora, Sivec, Ignac, Podnar, Martina, Skejo, Josip, Kucinic, Mladen (2021): Morphological and molecular characterisation of the Popijac's Yellow Sally, Isoperla popijaci sp. nov., a new stenoendemic stonefly species from Croatia (Plecoptera, Perlodidae). ZooKeys 1078: 85-106, DOI: http://dx.doi.org/10.3897/zookeys.1078.66382, URL: http://dx.doi.org/10.3897/zookeys.1078.66382
DOI: 10.15468/x9y68q
title: Two new species of Helochares, with additional faunistic records from China (Coleoptera, Hydrophilidae, Acidocerinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yang, Zhenming, Jia, Fenglong, Tang, Yudan, Jiang, Lu (2021): Two new species of Helochares, with additional faunistic records from China (Coleoptera, Hydrophilidae, Acidocerinae). ZooKeys 1078: 57-83, DOI: http://dx.doi.org/10.3897/zookeys.1078.73458, URL: http://dx.doi.org/10.3897/zookeys.1078.73458
DOI: 10.15468/n6catk
title: Anormalous liu sp. nov.: a first record and a new species of the genus Anormalous Liu, 2011 (Orthoptera, Tettigoniidae, Phaneropterinae) from India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Shah 1, Muzamil Syed, Usmani 1, Mohd Kamil (2021): Anormalous liu sp. nov.: a first record and a new species of the genus Anormalous Liu, 2011 (Orthoptera, Tettigoniidae, Phaneropterinae) from India. ZooKeys 1078: 49-55, DOI: http://dx.doi.org/10.3897/zookeys.1078.75499, URL: http://dx.doi.org/10.3897/zookeys.1078.75499
DOI: 10.5281/zenodo.5788640
title: Eupsittula cactorum SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5788639
title: Eupsittula cactorum SPAdes preassembly

description: .
DOI: 10.25646/9449
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.15128/r2gq67jr17c
title: Generator Rotor Electrical Asymmetry Test Rig Experiments [dataset]

description: This paper presents a simplified automated fault detection scheme for wind turbine induction generators with rotor electrical asymmetries. Fault indicators developed in previous works have made use of the presence of significant spectral peaks in the upper sidebands of the supply frequency harmonics; however, the specific location of these peaks may shift depending on the wind turbine speed. As wind turbines tend to operate under variable speed conditions, it may be difficult to predict where these fault-related peaks will occur. To accommodate for variable speeds and resulting shifting frequency peak locations, previous works have introduced methods to identify or track the relevant frequencies, which necessitates an additional set of processing algorithms to locate these fault-related peaks prior to any fault analysis. In this work, a simplified method is proposed to instead bypass the issue of variable speed (and shifting frequency peaks) by introducing a set of bandpass filters that encompass the ranges in which the peaks are expected to occur. These filters are designed to capture the fault-related spectral information to train a classifier for automatic fault detection, regardless of the specific location of the peaks. Initial experimental results show that this approach is robust against variable speeds, and further shows good generalisability in being able to detect faults at speeds and conditions that were not presented during training. After training and tuning the proposed fault detection system, the system was tested on ‘unseen’ data and yielded a high classification accuracy of 97.4%, demonstrating the efficacy of the proposed approach.
DOI: 10.34740/kaggle/dsv/2938173
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.14459/2021mp1637391
title: Does carbon transport in long-term drought stressed mature Norway spruce trees recover after drought release?

description: Data set used for the publication in the journal Global Change Biology, entitled "High resilience of carbon transport in long-term drought stressed mature Norway spruce trees within two weeks after drought release". The data used for the figures and the tables are named with the corresponding figure/table number.
DOI: 10.48428/adattar/ddmuup
title: Carabus species from Budapest dataset

description: Data from a query Budapest Carabus DINPI Database query.
DOI: 10.6084/m9.figshare.10067999
title: Garland_et_al_Nat_Food_dataset_figshare.xlsx

description: Biodiversa Digging Deeper database updated 21.06.2019
DOI: 10.6084/m9.figshare.10067999.v1
title: Garland_et_al_Nat_Food_dataset_figshare.xlsx

description: Biodiversa Digging Deeper database updated 21.06.2019
DOI: 10.6084/m9.figshare.17261069
title: FIBR_STAR_pop_SNP.gatk.bi.miss.maf.final.filtered.depth4.recode.vcf.gz

description: This is the final vcf (snp set) for the publication
DOI: 10.6084/m9.figshare.17261069.v1
title: FIBR_STAR_pop_SNP.gatk.bi.miss.maf.final.filtered.depth4.recode.vcf.gz

description: This is the final vcf (snp set) for the publication
DOI: 10.34740/kaggle/dsv/2938196
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.14766102.v29
title: antspyt1w helper data

description: downloadable cloud data for testing and processing
DOI: 10.5281/zenodo.5788543
title: Boland et al supplementary data file 1 - Tamoxifen

description: Supplementary Data File 1 containing differentially regulated genes of control treated or Tamoxifen treated zebrafish larvae.
DOI: 10.5281/zenodo.5788542
title: Boland et al supplementary data file 1 - Tamoxifen

description: Supplementary Data File 1 containing differentially regulated genes of control treated or Tamoxifen treated zebrafish larvae.
DOI: 10.5281/zenodo.5665584
title: Dataset examples related to the publication entitled "High-Potential Test for Quality Control of Separator Defects in Battery Cell Production"

description: Dataset examples and visualization program code for the publication entitled "High-Potential Test for Quality Control of Separator Defects in Battery Cell Production". Publication Doi: https://doi.org/10.3390/batteries7040064.
DOI: 10.5281/zenodo.5665583
title: Dataset examples related to the publication entitled "High-Potential Test for Quality Control of Separator Defects in Battery Cell Production"

description: Dataset examples and visualization program code for the publication entitled "High-Potential Test for Quality Control of Separator Defects in Battery Cell Production". Publication Doi: https://doi.org/10.3390/batteries7040064.
DOI: 10.5281/zenodo.5788701
title: Explaining human mobility predictions through a pattern matching algorithm

description: The name of the file indicate information:<br> {type of sequence}_{type of measure}_{sequence properites}_{additional information}.csv {type of sequence} - 'synth' for synthetic or 'london' for real mobility data from London, UK.<br> {type of measure} - 'r2' for R-squared measure or 'corr' for Spearman's correlation<br> {sequence properties} - for synthetic data there are three types of sequences, described in the research article (random, markovian, nonstationary). For real mobility data this part includes information about data processing parameters: (...)_london_{type of mobility sequence}_{DBSCAN epsilon value}_{DBSCAN min_pts value}. {type of mobility sequence} is 'seq' for next-place sequences and '30min' or '1H' for the next time-bin sequences and indicate the size of the time-bin.<br> Files with 'predictability' at the end of the file contain R-squared and Spearman's correlation of measures calculated in relation to the predictability measure. R2 files include values of R-squared for all types of modelled regression functions.<br> 'line' indicates {y = ax + b} for single variable and {y = ax + by + c} for two variables.<br> 'expo' indicates {y = a*x^b + c} for single variable and {y = a*x^b + c*y^d + e} for two variables<br> 'log' indicates {y = a*log(x*b) + c} for single variable and {y = a * x + c * log(y) + e + d*x * log(y)} for two variables.<br> 'logf' indicates {y = a*log(x) + c * log(y) + e + b*log(x) * log(y)} for two variables
DOI: 10.5281/zenodo.5788700
title: Explaining human mobility predictions through a pattern matching algorithm

description: The name of the file indicate information:<br> {type of sequence}_{type of measure}_{sequence properites}_{additional information}.csv {type of sequence} - 'synth' for synthetic or 'london' for real mobility data from London, UK.<br> {type of measure} - 'r2' for R-squared measure or 'corr' for Spearman's correlation<br> {sequence properties} - for synthetic data there are three types of sequences, described in the research article (random, markovian, nonstationary). For real mobility data this part includes information about data processing parameters: (...)_london_{type of mobility sequence}_{DBSCAN epsilon value}_{DBSCAN min_pts value}. {type of mobility sequence} is 'seq' for next-place sequences and '30min' or '1H' for the next time-bin sequences and indicate the size of the time-bin.<br> Files with 'predictability' at the end of the file contain R-squared and Spearman's correlation of measures calculated in relation to the predictability measure. R2 files include values of R-squared for all types of modelled regression functions.<br> 'line' indicates {y = ax + b} for single variable and {y = ax + by + c} for two variables.<br> 'expo' indicates {y = a*x^b + c} for single variable and {y = a*x^b + c*y^d + e} for two variables<br> 'log' indicates {y = a*log(x*b) + c} for single variable and {y = a * x + c * log(y) + e + d*x * log(y)} for two variables.<br> 'logf' indicates {y = a*log(x) + c * log(y) + e + b*log(x) * log(y)} for two variables
DOI: 10.5281/zenodo.5744714
title: Optimizing Within-Distance Queries by Approximating Shapes with Maximal Bounded Boxes - Datasets

description: Csv and sql files for the underlying data.<br> Figure 9: Calculating the distance between various number and type of shapes, i.e. from polygons, rotated and axis aligned rectangles, to points, polygons, rotated and axis aligned rectangles.<br> Table 1: Calculating distance between shapes of various complexity, i.e. points, lines, quadrilaterals, hexagons, dodecagons, icosagons, pentacontagons.<br> Table 2: Comparing the ordering of the shapes when distance operation is calculated, (a) from polygons to rectangles, (b) from rectangles to polygons.<br> Table 5 & 6: Within-distance and distance queries between (a) actual polygons, (b) their bounded rectangles, (c) actual polygons and points, (d) their bounded rectangles and points.