cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1733070.08fu
title: SH1733070.08FU

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/sh367958.07fu
title: SH367958.07FU

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/sh367959.07fu
title: SH367959.07FU

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/sh1733071.08fu
title: SH1733071.08FU

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/sh1733072.08fu
title: SH1733072.08FU

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/sh367960.07fu
title: SH367960.07FU

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/sh367961.07fu
title: SH367961.07FU

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/sh367962.07fu
title: SH367962.07FU

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/sh1733073.08fu
title: SH1733073.08FU

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/sh1733074.08fu
title: SH1733074.08FU

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: 10.21227/49ze-k258
title: January-24-Dong-Jiawei

description: January-24-Dong-Jiawei
DOI: 10.3886/e114180v1-81920
title: Replication data for: Was the Wealth of Nations Determined in 1000 BC?

description: We assemble a dataset on technology adoption in 1000 bc, 0 ad, and 1500 AD for the predecessors to today's nation states. Technological differences are surprisingly persistent over long periods of time. Our most interesting, strong, and robust results are for the association of 1500 AD technology with per capita income and technology adoption today. We also find robust and significant technological persistence from 1000 BC to 0 AD, and from 0 AD to 1500 AD. The evidence is consistent with a model where the cost of adopting new technologies declines sufficiently with the current level of adoption. (JEL N10, O33, O47)
DOI: 10.5281/zenodo.4626200
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.6084/m9.figshare.14256512
title: Final Data Grandin, Corgan 2021.xlsx

description: It is dangerous for both riders and horses when a horse suddenly startles. Sometimes horses do this in familiar environments because familiar objects may look different when rotated. The purpose of this study was to determine whether horses that had been habituated to a complex object (children’s playset) would react to the object as novel when rotated 90 degrees. Twenty young horses were led past the playset 15 times by a handler. Next, the rotated group was led past the rotated playset 15 times. The behavioral signs observed and analyzed were ears focused on the object, nostril flares, neck raising, snort, avoid by stopping, avoid by moving feet sideways, and avoid by flight. Being aware of potential reactions to changes in the orientation of previously familiar objects can help keep the handler safer.<br>
DOI: 10.6084/m9.figshare.14256536
title: FMEA Completo.pdf

description: FMEA - Santos et al.
DOI: 10.6084/m9.figshare.14256563.v1
title: Ribosomal protein database of Staphylococcus aureus

description: This work presents the ribosomal protein database of <i>Staphylococcus aureus</i>. Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.6084/m9.figshare.14256563
title: Ribosomal protein database of Staphylococcus aureus

description: This work presents the ribosomal protein database of <i>Staphylococcus aureus</i>. Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.5281/zenodo.4626213
title: Data for "Electric field control of superconductivity at the LaAlO3/KTaO3"

description: These data are for our submission "Electric field control of superconductivity at the LaAlO<sub>3</sub>/KTaO<sub>3</sub> interface". These include the data for Fig.1-Fig.4 in the main text and Fig. S2-Fig. S18 in the Supplementary Materials. The file "note" has text to explain how to find the corresponding data of a figure if they are not provided as a separate set of datasheet.
DOI: 10.5281/zenodo.4626212
title: Data for "Electric field control of superconductivity at the LaAlO3/KTaO3"

description: These data are for our submission "Electric field control of superconductivity at the LaAlO<sub>3</sub>/KTaO<sub>3</sub> interface". These include the data for Fig.1-Fig.4 in the main text and Fig. S2-Fig. S18 in the Supplementary Materials. The file "note" has text to explain how to find the corresponding data of a figure if they are not provided as a separate set of datasheet.
DOI: 10.5517/ccdc.csd.cc25lqxf
title: CCDC 2014005: Experimental Crystal Structure Determination

description: Related Article: Bin Chen, Qiuling Huang, Zhibei Qu, Cong Li, Qian Li, Jiye Shi, Chunhai Fan, Lihua Wang, Xiaolei Zuo, Jianlei Shen, Jiang Li|2021|Angew.Chem.,Int.Ed.|60|6624|doi:10.1002/anie.202014466
DOI: 10.5517/ccdc.csd.cc25trmd
title: CCDC 2020754: Experimental Crystal Structure Determination

description: Related Article: Yawen Li, Qingfang Li, Xiaran Miao, Chunyan Qin, Dake Chu, Liping Cao|2021|Angew.Chem.,Int.Ed.|60|6744|doi:10.1002/anie.202012681
DOI: 10.5517/ccdc.csd.cc26cflm
title: CCDC 2036780: Experimental Crystal Structure Determination

description: Related Article: Martin Ravutsov, Georgi M. Dobrikov, Miroslav Dangalov, Rositsa Nikolova, Vladimir Dimitrov, Giuseppe Mazzeo, Giovanna Longhi, Sergio Abbate, Lorenzo Paoloni, Marco Fusè, Vincenzo Barone|2021|Organometallics|40|578|doi:10.1021/acs.organomet.0c00712
DOI: 10.5517/ccdc.csd.cc26cfmn
title: CCDC 2036781: Experimental Crystal Structure Determination

description: Related Article: Martin Ravutsov, Georgi M. Dobrikov, Miroslav Dangalov, Rositsa Nikolova, Vladimir Dimitrov, Giuseppe Mazzeo, Giovanna Longhi, Sergio Abbate, Lorenzo Paoloni, Marco Fusè, Vincenzo Barone|2021|Organometallics|40|578|doi:10.1021/acs.organomet.0c00712
DOI: 10.5517/ccdc.csd.cc26cfnp
title: CCDC 2036782: Experimental Crystal Structure Determination

description: Related Article: Martin Ravutsov, Georgi M. Dobrikov, Miroslav Dangalov, Rositsa Nikolova, Vladimir Dimitrov, Giuseppe Mazzeo, Giovanna Longhi, Sergio Abbate, Lorenzo Paoloni, Marco Fusè, Vincenzo Barone|2021|Organometallics|40|578|doi:10.1021/acs.organomet.0c00712
DOI: 10.5517/ccdc.csd.cc26cfpq
title: CCDC 2036783: Experimental Crystal Structure Determination

description: Related Article: Martin Ravutsov, Georgi M. Dobrikov, Miroslav Dangalov, Rositsa Nikolova, Vladimir Dimitrov, Giuseppe Mazzeo, Giovanna Longhi, Sergio Abbate, Lorenzo Paoloni, Marco Fusè, Vincenzo Barone|2021|Organometallics|40|578|doi:10.1021/acs.organomet.0c00712
DOI: 10.5517/ccdc.csd.cc26cfqr
title: CCDC 2036784: Experimental Crystal Structure Determination

description: Related Article: Martin Ravutsov, Georgi M. Dobrikov, Miroslav Dangalov, Rositsa Nikolova, Vladimir Dimitrov, Giuseppe Mazzeo, Giovanna Longhi, Sergio Abbate, Lorenzo Paoloni, Marco Fusè, Vincenzo Barone|2021|Organometallics|40|578|doi:10.1021/acs.organomet.0c00712
DOI: 10.5517/ccdc.csd.cc26nxld
title: CCDC 2045894: Experimental Crystal Structure Determination

description: Related Article: Yuhuan Geng|2020|CSD Communication|||
description: Related Article: Yu-Huan Geng, Yuan-Zhao Hua, Shi-Kun Jia, Min-Can Wang|2021|Chem.-Eur.J.|27|5130|doi:10.1002/chem.202100284
DOI: 10.6084/m9.figshare.14256623
title: Porphyrin bacteriophage PDI

description: Inactivation of bacteriophages phiX174, P22, and fr, via photodynamic inactivation with porphyrin sensitizers (TMPyP, PdT4, C14, PdC14). Supporting data for Heffron, Bork, Mayer, and Skwor (2021).<br>
DOI: 10.6084/m9.figshare.14256623.v1
title: Porphyrin bacteriophage PDI

description: Inactivation of bacteriophages phiX174, P22, and fr, via photodynamic inactivation with porphyrin sensitizers (TMPyP, PdT4, C14, PdC14). Supporting data for Heffron, Bork, Mayer, and Skwor (2021).<br>
DOI: 10.6084/m9.figshare.14256632
title: Porphyrin absorbance

description: Absorbance spectra for porphyrins both alone and after incubation with bacteriophages. Supporting data for Heffron, Bork, Mayer, and Skwor (2021).<br>
DOI: 10.6084/m9.figshare.14256653
title: description of PEERJ_AI_MEWS

description: description file to describe the meaning of column names
DOI: 10.6084/m9.figshare.14256653.v1
title: description of PEERJ_AI_MEWS

description: description file to describe the meaning of column names
DOI: 10.5281/zenodo.4626241
title: Data accompanying the research on reservoir operation for the Pong and Bhakra reservoir in Northern India

description: This dataset contains time series of reservoir releases (including any spills), evaporation loss, and rule curves for the Pong and Bhakra reservoirs, India.
description: {"references": ["https://doi.org/10.3390/w11071413", "https://doi.org/10.1016/j.scitotenv.2019.06.021"]}
DOI: 10.5517/ccdc.csd.cc26q8jr
title: CCDC 2047194: Experimental Crystal Structure Determination

description: Related Article: Jin-Hua Liu, Qiu-Tong Shen, Jin Yang, Ming-Yue Yu, Jian-Fang Ma|2021|Inorg.Chem.|60|3729|doi:10.1021/acs.inorgchem.0c03511
DOI: 10.5517/ccdc.csd.cc26q8ks
title: CCDC 2047195: Experimental Crystal Structure Determination

description: Related Article: Jin-Hua Liu, Qiu-Tong Shen, Jin Yang, Ming-Yue Yu, Jian-Fang Ma|2021|Inorg.Chem.|60|3729|doi:10.1021/acs.inorgchem.0c03511
DOI: 10.25934/00005436
title: A pooled analysis of the efficacy and tolerability of tolterodine for the treatment of Overactive Bladder (OAB) in patients over the age of 65 years of age

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.6084/m9.figshare.14256659.v1
title: IRB of PEERJ-AI_MEWS

description: IRB of PEERJ-AI_MEWS
DOI: 10.6084/m9.figshare.14256659
title: IRB of PEERJ-AI_MEWS

description: IRB of PEERJ-AI_MEWS
DOI: 10.18112/openneuro.ds003382.v1.1.5
title: Monash vis-fPET-fMRI
DOI: 10.6084/m9.figshare.14256689
title: ewDavidWmhSegmentationSlicewiseT1OnlyWeights.h5

description: T1-only weights for WMH segmentation<br>
DOI: 10.5281/zenodo.4624240
title: Global Airborne Observatory: Forest Canopy Height and Carbon Stocks of Panama

description: Two maps are provided from a study of the Republic of Panama. The maps are based on airborne light detection and ranging (lidar) data, combined with satellite-based maps of forest cover and properties, acquired in 2012. The resulting maps are: (1) top of canopy height or TCH; and (2) aboveground carbon density or ACD. Units for TCH are meters above ground. Units for ACD are Mg C per hectare. Maps are provided at 1.0 ha spatial resolution. File format is GeoTIFF. Use of these data require citation of this dataset and the original journal paper that delivered the mapping method. These citations are as follows: Asner, G.P., J. Mascaro, C. Anderson, D.E. Knapp, R.E. Martin, T. Kennedy-Bowdoin, M. van Breugel, S. Davies, J.S. Hall, H.C. Muller-Landau, C. Potvin, W. Sousa, J. Wright and E. Bermingham. 2013. High-fidelity national carbon mapping for resource management and REDD+. <em>Carbon Balance and Management</em> 8:7 (doi:10.1186/1750-0680-8-7) Asner, G.P., J. Mascaro, C. Anderson, D.E. Knapp, and R.E. Martin. 2021. Global Airborne Observatory: Forest canopy height and carbon stocks of Panama (Version 1.0) [Data set]. Zenodo http://doi.org/10.5281/zenodo.4624240