cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh2745427.08fu
title: SH2745427.08FU

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/sh2745428.08fu
title: SH2745428.08FU

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/sh2745429.08fu
title: SH2745429.08FU

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/sh2745430.08fu
title: SH2745430.08FU

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/sh2745431.08fu
title: SH2745431.08FU

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/sh2745432.08fu
title: SH2745432.08FU

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/sh2745433.08fu
title: SH2745433.08FU

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/sh2745434.08fu
title: SH2745434.08FU

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/sh2745435.08fu
title: SH2745435.08FU

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/sh2745436.08fu
title: SH2745436.08FU

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: 10.26093/cds/vizier.51610064
title: Radial velocity and gri light curve of HAT-P-68

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'HAT-P-68b: a transiting hot Jupiter around a K5 dwarf star*.' (bibcode: 2021AJ....161...64L)
DOI: 10.6084/m9.figshare.23812554
title: Additional file 3 of Enrichment of human nasopharyngeal bacteriome with bacteria from dust after short-term exposure to indoor environment: a pilot study

description: Additional file 3. Bacterial genera in the dust and nasopharyngeal samples. * Number of occurrences of the specific genus in the dust (n = 44)/nasopharyngeal samples (n = 44). One nasopharyngeal sample collected in the afternoon was excluded from the analysis. ** Values are based on the relative abundances of bacterial genera in the dust/nasopharyngeal samples.
DOI: 10.6084/m9.figshare.23812560
title: Additional file 5 of Enrichment of human nasopharyngeal bacteriome with bacteria from dust after short-term exposure to indoor environment: a pilot study

description: Additional file 5. Results of differential abundance testing between groups. Only genera with at least unadjusted p-value ≤ 0.05 are displayed. Specific groups and statistical tests used are summarized on the Overview sheet.
DOI: 10.6084/m9.figshare.23812560.v1
title: Additional file 5 of Enrichment of human nasopharyngeal bacteriome with bacteria from dust after short-term exposure to indoor environment: a pilot study

description: Additional file 5. Results of differential abundance testing between groups. Only genera with at least unadjusted p-value ≤ 0.05 are displayed. Specific groups and statistical tests used are summarized on the Overview sheet.
DOI: 10.6084/m9.figshare.23812569
title: Additional file 8 of Enrichment of human nasopharyngeal bacteriome with bacteria from dust after short-term exposure to indoor environment: a pilot study

description: Additional file 8. ASV table nonchimeric. Np, nasopharyngeal sample; D, dust sample; Mor, morning samples; Aft, afternoon samples; NEO, maternity hospital (n = 8); ENT, pediatric hospital (n = 6); RCX, research center (n = 8).
DOI: 10.6084/m9.figshare.23812569.v1
title: Additional file 8 of Enrichment of human nasopharyngeal bacteriome with bacteria from dust after short-term exposure to indoor environment: a pilot study

description: Additional file 8. ASV table nonchimeric. Np, nasopharyngeal sample; D, dust sample; Mor, morning samples; Aft, afternoon samples; NEO, maternity hospital (n = 8); ENT, pediatric hospital (n = 6); RCX, research center (n = 8).
DOI: 10.6084/m9.figshare.23812584
title: Additional file 1 of Using a drifting GPS-Argos satellite buoy as a method for detecting acoustic-tagged fish offshore in an ancient lake

description: Additional file 1: Table S1.Detailed information of fish tagging experiments conducted in 2019–2021.”
DOI: 10.6084/m9.figshare.23812584.v1
title: Additional file 1 of Using a drifting GPS-Argos satellite buoy as a method for detecting acoustic-tagged fish offshore in an ancient lake

description: Additional file 1: Table S1.Detailed information of fish tagging experiments conducted in 2019–2021.”
DOI: 10.6084/m9.figshare.23812608
title: Additional file 1 of A rare case of severe leptospirosis infection presenting as septic shock in a non-endemic area: a case report and literature review

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.23812608.v1
title: Additional file 1 of A rare case of severe leptospirosis infection presenting as septic shock in a non-endemic area: a case report and literature review

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.23812644
title: Additional file 1 of Sociodemographic and clinical characteristics of treated and untreated adults with bulimia nervosa or binge-eating disorder recruited for a large-scale research study

description: Additional file 1: Table S1. Comparison of research participants with BN/BED who had never accessed treatment (Untreated) vs those who had accessed treatment (Treated): Sensitivity analysis adjusting for history of anorexia nervosa. Table S2. Comparison of research participants with BN/BED by highest level of care received: Sensitivity analysis adjusting for history of anorexia nervosa.
DOI: 10.6084/m9.figshare.23812644.v1
title: Additional file 1 of Sociodemographic and clinical characteristics of treated and untreated adults with bulimia nervosa or binge-eating disorder recruited for a large-scale research study

description: Additional file 1: Table S1. Comparison of research participants with BN/BED who had never accessed treatment (Untreated) vs those who had accessed treatment (Treated): Sensitivity analysis adjusting for history of anorexia nervosa. Table S2. Comparison of research participants with BN/BED by highest level of care received: Sensitivity analysis adjusting for history of anorexia nervosa.
DOI: 10.6084/m9.figshare.23812749
title: Supplementary Material for: Retrospective study of treatment patterns and natural history of patients with T1a/b N0 TNBCs—A single-institution experience.

description: Introduction: T1a/b, node-negative (node-), triple-negative breast cancers (TNBCs) are underrepresented in randomized drug-approving clinical trials. Given their low incidence, the clinicopathological features, natural history, and treatment patterns of these tumors remain insufficiently understood. Methods: We conducted a single-institution retrospective cohort study of patients with T1a/b, N0, M0 TNBCs. Deidentified patient- and tumor-related data were collected and summarized. Kruskal-Wallis, chi-square, or Fisher exact tests were used to evaluate associations of interest. Kaplan-Meier methods, log-rank tests, and Cox's proportional hazards models were applied for survival analyses. Results: Of 108 cases of node- TNBCs measuring ≤2 cm, 34 node- T1a/b tumors were included in our analysis. All cases had an intermediate to high histological grade, and most had a Ki-67 score of ≥20%. All patients received adjuvant chemotherapy, and many underwent mastectomy (47%). Docetaxel combined with cyclophosphamide was the most common adjuvant chemotherapy regimen (75%). We did not observe significant associations between improved outcomes and treatment with anthracycline-containing regimens. Among patients with node- pT1a/b tumors, the estimated 3-year recurrence-free survival and distant recurrence-free survival rates were both 96.3% (95% CI, 76.5-99.5), and the overall survival rate was estimated to be 100% (95% CI, 100-100). There were no cases of local recurrences observed. Discussion/Conclusions: In our cohort, all patients with T1a/b node- TNBCs were treated with adjuvant chemotherapy and had favorable outcomes even when treated with anthracycline-sparing regimens.
DOI: 10.6084/m9.figshare.22272622.v2
title: A survey of burrows in the drylands of Central California dataset.

description: A burrow survey dataset comprised of two key measures: burrow location + burrow diameter. Data were collected within various-sized plots at different sites across Central California.
DOI: 10.5281/zenodo.8201690
title: Dataset for "Research Trend of Behavioral Bias in Financial Market: A Bibliometric Analysis "

description: Dataset for Bibliometric research
DOI: 10.5281/zenodo.8201689
title: Dataset for "Research Trend of Behavioral Bias in Financial Market: A Bibliometric Analysis "

description: Dataset for Bibliometric research
DOI: 10.6084/m9.figshare.22272622.v3
title: A Survey Of Burrows In The Drylands Of Southern California Dataset.

description: A burrow survey dataset comprised of two key measures: burrow location + burrow diameter. Data were collected within various-sized plots at different sites across Southern California.
DOI: 10.6084/m9.figshare.23812761
title: img2fmri_analysis_data

description: Data folder for supplementary analysis for img2fmri python package. Includes preprocessed fMRI data for analyses associated with the jupyter notebook tutorial for img2fmri. Includes subfolders for analyses associated with the Twinset prediction validation analysis, as well as a folder for the Partly Cloudy analysis.
DOI: 10.6084/m9.figshare.23812761.v1
title: img2fmri_analysis_data

description: Data folder for supplementary analysis for img2fmri python package. Includes preprocessed fMRI data for analyses associated with the jupyter notebook tutorial for img2fmri. Includes subfolders for analyses associated with the Twinset prediction validation analysis, as well as a folder for the Partly Cloudy analysis.
DOI: 10.5281/zenodo.8201693
title: Dataset for High-Round QAOA for MAX k-SAT on Trapped Ion NISQ Devices

description: Dataset for the paper titled `High-Round QAOA for MAX k-SAT on Trapped Ion NISQ Devices` LA-UR-23-28505
DOI: 10.5281/zenodo.8201692
title: Dataset for High-Round QAOA for MAX k-SAT on Trapped Ion NISQ Devices

description: Dataset for the paper titled `High-Round QAOA for MAX k-SAT on Trapped Ion NISQ Devices` LA-UR-23-28505
DOI: 10.5517/ccdc.csd.cc2g4dhj
title: CCDC 2268347: Experimental Crystal Structure Determination

description: Related Article: Yingyu Li|2023|CSD Communication|||
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.cc2g4dkl
title: CCDC 2268349: Experimental Crystal Structure Determination

description: Related Article: Yingyu Li|2023|CSD Communication|||
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.cc2g4f46
title: CCDC 2268367: Experimental Crystal Structure Determination

description: Related Article: Yingyu Li|2023|CSD Communication|||
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: 10.48505/nims.4216
title: SuperCon RDF Ver. 1.1

description: "SuperCon RDF" is an RDF version of the datasheets published in this collection based on the SuperCon Ontology (https://doi.org/10.48505/nims.3873). Please refer to the original paper (https://doi.org/10.1080/27660400.2023.2223051) for details on its use. Please contact us for details on the schema and the use of the data as a knowledge base.
We hope that MDR SuperCon RDF will lead to discoveries that will lead to important breakthroughs in environmental and energy issues. We also welcome its use for educational and other purposes. Please follow MDR's Terms of Use and properly identify the source of this data when using it:
(Example of statement) This study used the MDR SuperCon RDF Ver. X.X in the SuperCon datasheet Collection (https://doi.org/10.48505/nims.3739) published by the National Institute for Materials Science (NIMS).
* A DOI is issued each time the RDF is revised. It is preferable to include the DOI of the actual RDF version used.
DOI: 10.5281/zenodo.8201680
title: 2023/07/07 HD 205289 Pupil Polarimetry Data

description: Unsynchronized raw pupil images from 2023/07/07 (UTC) in polarimetric mode of HD 205289. Also includes a folder with dark-subtracted aligned and collapsed data.
DOI: 10.5281/zenodo.8201679
title: 2023/07/07 HD 205289 Pupil Polarimetry Data

description: Unsynchronized raw pupil images from 2023/07/07 (UTC) in polarimetric mode of HD 205289. Also includes a folder with dark-subtracted aligned and collapsed data.