cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0988921.10fu
title: SH0988921.10FU

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/sh0988922.10fu
title: SH0988922.10FU

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/sh0988923.10fu
title: SH0988923.10FU

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/sh0988924.10fu
title: SH0988924.10FU

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/sh0988925.10fu
title: SH0988925.10FU

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/sh0988926.10fu
title: SH0988926.10FU

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/sh0988927.10fu
title: SH0988927.10FU

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/sh0988928.10fu
title: SH0988928.10FU

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/sh0988929.10fu
title: SH0988929.10FU

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/sh0988930.10fu
title: SH0988930.10FU

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: 10.21227/dr7d-9n96
title: SMAP RFI Kurtosis

description: Radio frequency interference (RFI) is a problem in microwave remote sensing even for sensors operating in the protected band at 1.4 GHz (L-band).  Unfortunately, little is known about the sources of the interference, which complicates the design of systems to deal with it.  The SMAP radiometer is unique in that it comprises an array of tools to detect RFI, including spectral information and kurtosis in addition to the more conventional time-domain thresholding.  This data set contains examples used in an investigation to determine if the kurtosis (K) can be combined with the information about the spectrum of the RFI to identify characteristics of the source of the RFI.  The attached figure is an example of one of 16 case studies.
DOI: 10.5517/ccdc.csd.cc283bqg
title: CCDC 2088585: Experimental Crystal Structure Determination

description: Related Article: Quynh Nhu N. Nguyen, Kay T. Xia, Yue Zhang, Nanhao Chen, Mariko Morimoto, Xiaokun Pei, Yang Ha, Jinghua Guo, Wanli Yang, Lee-Ping Wang, Robert G. Bergman, Kenneth N. Raymond, F. Dean Toste, Dean J. Tantillo|2022|J.Am.Chem.Soc.|144|11413|doi:10.1021/jacs.2c04179
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b7kjp
title: CCDC 2152222: Experimental Crystal Structure Determination

description: Related Article: Jonathan Bould, Oleg Tok, Miroslava Litecká, Michael G.S. Londesborough, Marcel Ehn|2022|Inorg.Chim.Acta|542|121148|doi:10.1016/j.ica.2022.121148
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b7tjy
title: CCDC 2152470: Experimental Crystal Structure Determination

description: Related Article: Jonathan Bould, Oleg Tok, Miroslava Litecká, Michael G.S. Londesborough, Marcel Ehn|2022|Inorg.Chim.Acta|542|121148|doi:10.1016/j.ica.2022.121148
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bmtg8
title: CCDC 2164000: Experimental Crystal Structure Determination

description: Related Article: Stephen M. Bierschenk, Judy Y. Pan, Nicholas S. Settineri, Ulrike Warzok, Robert G. Bergman, Kenneth N. Raymond, F. Dean Toste|2022|J.Am.Chem.Soc.|144|11425|doi:10.1021/jacs.2c04182
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25919/ffqq-dy73
title: Parkes observations for project P1194 semester 2023APRS_16

description: Among nearly 2000 unidentified gamma-ray sources detected with the Fermi Gamma Ray Space Telescope, there are potentially many pulsars. The ultra-wide frequency coverage will enable us to detect MSPs with steep spectrum and avoid difficulties caused by interstellar scintillation and dispersive and scattering smearing. We propose to revisit highly ranked pulsar candidates that remain unidentified. Such a pilot survey will help us designing future searches of the coming 4FGL gamma-ray source catalog using the UWL. We select 11 targets and request 12 hour time in total.
DOI: 10.57979/p0y3rs/fhxngo
title: deco_2016_2017_ENG.csv

description: XXX Description to be given after
DOI: 10.57979/p0y3rs/docjkt
title: Support.tab

description: XXX Description to be given after
DOI: 10.57979/p0y3rs/pl0xpy
title: deco_2016_2017_SOM_2.csv

description: Descrição ea completar
DOI: 10.57979/p0y3rs
title: Consumers financial health

description: The dataset comprises a broad range of variables to understand the full picture of consumers’ financial health: family socio-demographics, total income, total expenses, employment information, as well as all credit details. The features considered for the analyses were: socio-demographic characterization (marital status, level of education completed, number of people in the household), the perceived causes for over-indebtedness (from a predetermined pool of causes), and data concerning their economic situation, including the total income and expenses of the household as well as data concerning their credits and debts (amount of the monthly installments for credit cards, housing credit, car credit, personal credit and other types of credit or debts; total monthly installment concerning all credits). Each household is represented by one record (one observation) of the dataset with many features to describe their characteristics and behavior
DOI: 10.5281/zenodo.8048187
title: GTDB r214.1 Mash Database (UNOFFICIAL MIRROR)

description: <strong>This is an UNOFFICIAL host for the GTDB mash sketch based on GTDB r214.1</strong> Intended use of this file is to include in the VEBA database for quicker GTDB-Tk analysis. Created by running the following command using <strong>GTDB-Tk v2.3.0 </strong>on the S1 sample from Zenodo:7946802: <pre><code>gtdbtk classify_wf --genome_dir veba_output/binning/prokaryotic/S1/output/genomes/ --out_dir test_output -x fa --cpus 1 --mash_db ./gtdb_r214.msh</code></pre> <strong>Source Files: </strong> gtdbtk_r214_data.tar.gz <strong>RELEASE_NOTES.txt</strong> <pre>Release Notes: Release 214.1: ------------- Correction regarding the classification of the genome "GB_GCA_902406375.1" in 214.1 release. We have identified an error in the taxonomy assignment for this particular genome. The genome GB_GCA_902406375.1 was previously classified as Collinsella sp905215505 in some files . We have reevaluated the taxonomy and determined that the correct classification should be Collinsella sp002232035. We have rectified this error and made the necessary updates to the following files within the package: - bac120_taxonomy_r214.tsv - sp_clusters_r214.tsv - ssu_all_r214.tar.gz Notes: ------ - We thank Jan MareÅ¡ for his help in curating the Cyanobacteria - Phylum names have been updated following the valid publication of 42 names in IJSEM (https://pubmed.ncbi.nlm.nih.gov/34694987/), including Bacillota and Pseudomonadota - Fixed issue with SSU files where sequences started 2 bp after correct start and stopped 1 bp after correct end of sequence. Thanks to CX for bringing this issue to our attention: https://forum.gtdb.ecogenomic.org/t/16s-23s-and-ssu-all-r207/307/2 - SSU files now provide sequences in their 5' to 3' orientation - Changed QC criterion for number of contigs from 1000 to 2000 in order to better align the GTDB criteria with RefSeq (https://www.ncbi.nlm.nih.gov/assembly/help/anomnotrefseq/) - Changed QC criterion to use ar53 instead of ar122 marker set. The impact of this change was evaluated on the 353,569 genomes (~6,100 archaeal) considered for GTDB R207: -- only 1 additional genome passed QC -- only 21 additional genomes failed QC which included the following species representatives: -- s__Methanoregula sp002497485 -- s__Methanobrevibacter_A sp017634055 -- s__Methanosphaera sp003266165 -- s__MGIIa-L1 sp002688825 -- s__MGIIb-N2 sp002503665 -- s__MGIIa-L2 sp002692685 -- s__MGIIb-O3 sp002730445 -- s__DTDI01 sp011334935 -- s__Methanosphaera sp017652595 -- s__Nitrosopelagicus sp902606945 -- s__Methanolinea sp002501965</pre> <strong>If you have found this useful, please cite the original publications: </strong> Chaumeil PA, et al. 2022. GTDB-Tk v2: memory friendly classification with the Genome Taxonomy Database. <em>Bioinformatics</em>, btac672. Parks, D.H., et al. (2021). GTDB: an ongoing census of bacterial and archaeal diversity through a phylogenetically consistent, rank normalized and complete genome-based taxonomy. <em>Nucleic Acids Research</em>, <strong>50</strong>: D785–D794.
DOI: 10.5281/zenodo.8048186
title: GTDB r214.1 Mash Database (UNOFFICIAL MIRROR)

description: <strong>This is an UNOFFICIAL host for the GTDB mash sketch based on GTDB r214.1</strong> Intended use of this file is to include in the VEBA database for quicker GTDB-Tk analysis. Created by running the following command using <strong>GTDB-Tk v2.3.0 </strong>on the S1 sample from Zenodo:7946802: <pre><code>gtdbtk classify_wf --genome_dir veba_output/binning/prokaryotic/S1/output/genomes/ --out_dir test_output -x fa --cpus 1 --mash_db ./gtdb_r214.msh</code></pre> <strong>Source Files: </strong> gtdbtk_r214_data.tar.gz <strong>RELEASE_NOTES.txt</strong> <pre>Release Notes: Release 214.1: ------------- Correction regarding the classification of the genome "GB_GCA_902406375.1" in 214.1 release. We have identified an error in the taxonomy assignment for this particular genome. The genome GB_GCA_902406375.1 was previously classified as Collinsella sp905215505 in some files . We have reevaluated the taxonomy and determined that the correct classification should be Collinsella sp002232035. We have rectified this error and made the necessary updates to the following files within the package: - bac120_taxonomy_r214.tsv - sp_clusters_r214.tsv - ssu_all_r214.tar.gz Notes: ------ - We thank Jan MareÅ¡ for his help in curating the Cyanobacteria - Phylum names have been updated following the valid publication of 42 names in IJSEM (https://pubmed.ncbi.nlm.nih.gov/34694987/), including Bacillota and Pseudomonadota - Fixed issue with SSU files where sequences started 2 bp after correct start and stopped 1 bp after correct end of sequence. Thanks to CX for bringing this issue to our attention: https://forum.gtdb.ecogenomic.org/t/16s-23s-and-ssu-all-r207/307/2 - SSU files now provide sequences in their 5' to 3' orientation - Changed QC criterion for number of contigs from 1000 to 2000 in order to better align the GTDB criteria with RefSeq (https://www.ncbi.nlm.nih.gov/assembly/help/anomnotrefseq/) - Changed QC criterion to use ar53 instead of ar122 marker set. The impact of this change was evaluated on the 353,569 genomes (~6,100 archaeal) considered for GTDB R207: -- only 1 additional genome passed QC -- only 21 additional genomes failed QC which included the following species representatives: -- s__Methanoregula sp002497485 -- s__Methanobrevibacter_A sp017634055 -- s__Methanosphaera sp003266165 -- s__MGIIa-L1 sp002688825 -- s__MGIIb-N2 sp002503665 -- s__MGIIa-L2 sp002692685 -- s__MGIIb-O3 sp002730445 -- s__DTDI01 sp011334935 -- s__Methanosphaera sp017652595 -- s__Nitrosopelagicus sp902606945 -- s__Methanolinea sp002501965</pre> <strong>If you have found this useful, please cite the original publications: </strong> Chaumeil PA, et al. 2022. GTDB-Tk v2: memory friendly classification with the Genome Taxonomy Database. <em>Bioinformatics</em>, btac672. Parks, D.H., et al. (2021). GTDB: an ongoing census of bacterial and archaeal diversity through a phylogenetically consistent, rank normalized and complete genome-based taxonomy. <em>Nucleic Acids Research</em>, <strong>50</strong>: D785–D794.
DOI: 10.5523/bris.1c3xho5w6nfbf2m7kjwyh50x99
title: Magnetotransport of FeSe1-xSx and FeSe1-xTex
title: Expanded quantum vortex liquid regimes in the electron nematic superconductors FeSe1-xSx and FeSe1-xTex

description: The raw data associated with the manuscript titled "Expanded quantum vortex liquid regimes in the electron nematic superconductors FeSe1-xSx and FeSe1-xTex" by M. Culo et al accepted for publication in Nature Communications.