cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1382820.10fu
title: SH1382820.10FU

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/sh1382822.10fu
title: SH1382822.10FU

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/sh1382824.10fu
title: SH1382824.10FU

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/sh1382826.10fu
title: SH1382826.10FU

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/sh1382828.10fu
title: SH1382828.10FU

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/sh1382832.10fu
title: SH1382832.10FU

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/sh1382833.10fu
title: SH1382833.10FU

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/sh1382836.10fu
title: SH1382836.10FU

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/sh1382837.10fu
title: SH1382837.10FU

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: 10.6084/m9.figshare.7140209.v4
title: Urban link travel speed dataset from a megacity road network

description: Link travel speeds in road networks are fundamental data in many research areas of traffic, transportation, and logistics. To support the research in these areas, we develop a dataset, containing the travel speeds on each road link and in different time periods together with the real road network map. The dataset is collected from a representative megacity in Western China, Chengdu. The road network of this city involves different urban road network structures. The dataset shows the realistic variations and randomness of urban link travel speeds. This enables the research of real data-driven decision-making problems in traffic, transportation and logistics areas.<i></i>
DOI: 10.6084/m9.figshare.26181557.v1
title: Influence of Planetary Positions on Global Wind Patterns: A Comprehensive Analysis of U-Wind Speeds in Earth's Troposphere (1981-2023)

description: The "Wind" dataset provides a comprehensive collection of mean daily U-wind speeds measured in Earth's troposphere from 1981 to 2023. This dataset was used in the research paper titled "Connection Between Planetary Orbits and Global Wind Measurements in Earth's Troposphere," which investigates the potential correlation between the relative positions of Earth and Mars and variations in global wind patterns.MethodologyThe data collection methodology involves averaging daily U-wind speeds across all latitudes, longitudes, and atmospheric pressure levels. These measurements were obtained from the National Centers for Environmental Prediction (NCEP) and the National Center for Atmospheric Research (NCAR) reanalysis project, ensuring a high degree of accuracy and reliability. All values from leap days were excluded to maintain consistency in the temporal dataset.Techniques UsedStatistical analysis techniques, including two-sample T-tests assuming unequal variances, Pearson correlation coefficients, and regression analysis, were employed to explore the relationship between U-wind speeds and Mars' position relative to Earth. The analysis considered hypothetical accelerations in the U-direction due to Mars' gravitational influence, and results were evaluated for statistical significance and potential confounding factors.Ethical ConsiderationsThe data utilized in this research is publicly available from reputable sources, including the NOAA's Physical Sciences Laboratory and NASA's Planetary Ephemeris. The study adheres to all legal and ethical requirements for data use, ensuring transparency and reproducibility of results.RelevanceThis dataset is crucial for researchers examining extraterrestrial influences on Earth's weather and climate systems. By providing detailed wind measurements over an extensive period, it allows for robust analysis of potential dynamic interactions between planetary positions and terrestrial atmospheric conditions. The findings can enhance weather forecasting and climate modeling by incorporating astronomical factors.The dataset is available for public access and can be used to reproduce the study's results or to conduct further research in the field of planetary influence on Earth's atmospheric dynamics.For additional information on the data sources and preparation, please refer to the U-wind repository at NOAA and the positional data of major solar system objects from NASA's Horizons system.
DOI: 10.6084/m9.figshare.9162248.v1
title: pat 15 MRI

description: Admire, Pinnacle, and Velocity denote structure sets after a deformable or rigid registration was applied to the MRI holding the CT as primary.
DOI: 10.6084/m9.figshare.6958307.v1
title: GFP Images of stationary phase cells from the yeast GFP collection

description: The images of genome-wide screening of protein localization patterns in stationary phase including 2 repeats (1st and 2nd data) were compressed into rar files. Please download all files before decompression. Please use the excel file to find the ORF of interest.
DOI: 10.6084/m9.figshare.6192896.v1
title: Tongxinluo Prevents Cardiac Fibroblast Activation and Inhibits Cardiac Fibrosis in Spontaneously Hypertensive Rats

description: relevant data in the article<br>
DOI: 10.6084/m9.figshare.3529211.v1
title: Appendix A. Identity of host plant and fungal species pairings and effect sizes [ln(R)] for seedling biomass, shoot height, and shoot:root ratio for each study used in meta-analysis and full literature citations.

description: Identity of host plant and fungal species pairings and effect sizes [ln(R)] for seedling biomass, shoot height, and shoot:root ratio for each study used in meta-analysis and full literature citations.
DOI: 10.6084/m9.figshare.19499354.v1
title: patches and local annotations, slide 010, zoom 248x248 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.24926253.v1
title: <i>Scurria scurra</i>

description: These files are the full genome assembly and annotation for Scurria scurra. These files include all scaffolds.
DOI: 10.6084/m9.figshare.18092942.v1
title: Revistas científicas internacionais que adotam selos em conformidade com a ciência aberta

description: Revistas científicas e editoras internacionais que adotam selos de ciência aberta. Pesquisa realizada no site Open Science Badges.
DOI: 10.15468/dl.p7h5ek
title: Occurrence Download

description: A dataset containing 6140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Apamea sordens (Hufnagel, 1766)"
 ]
}

 The dataset includes 6140 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009680-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.22269508.v1
title: fores_logging_fuel.tif

description: forestry residues from the logging of the fuel forest
DOI: 10.6084/m9.figshare.12726899.v1
title: Supplementary Material for: Association between Ultrafiltration Rate and Clinical Outcome Is Modified by Muscle Mass in Hemodialysis Patients

description: <b><i>Background:</i></b> The association between ultrafiltration rate (UFR) and mortality may be affected by the muscle mass or volume status in hemodialysis (HD) patients. However, there is an absence of data regarding this association. <b><i>Methods:</i></b> We performed an observational study on patients (≥18 years old) who had been on HD for at least 3 months. A body composition monitor (BCM) was used for baseline bioimpedance analysis measurement. The primary composite outcome was defined as the time to death or the first cardiovascular event. <b><i>Results:</i></b> The median (interquartile range) UFR, volume excess measured by the BCM, and lean tissue index (LTI) (calculated as lean tissue mass/height<sup>2</sup>) were 11.4 (8.0–15.0) mL/h/kg, 2.4 (1.4–4.1) L, and 12.5 (10.4–14.4) kg/m<sup>2</sup>, respectively. During 284 person-years of follow-up, the primary outcome occurred in 44 of the 167 patients (26%). Higher UFR was associated with an increased outcome of death or cardiovascular event; the adjusted hazard ratio (HR) was 1.044 (95% confidence interval [CI]: 1.006–1.083). This association remained consistent even after adjusting for volume excess. However, the association between UFR and the primary outcome was modified by LTI (<i>p</i><sub>interaction</sub> = 0.027); the association was significant in patients with LTI &lt; 12.5 kg/m<sup>2</sup>, and the HR (95% CI) was 1.050 (1.001–1.102). <b><i>Conclusion:</i></b> Higher UFR was associated with an increased risk of a composite outcome of death or cardiovascular event regardless of volume status in HD patients. However, muscle mass may modify the association between higher UFR and increased risk of a composite outcome.
DOI: 10.5519/qd.jrljhokk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11316 records)
DOI: 10.6084/m9.figshare.20710270.v1
title: Supplementary Material for: Extracorporeal Carbon Dioxide Removal in Patients with Acute Respiratory Distress Syndrome or Chronic Obstructive Pulmonary Disease: A Systematic Review and Meta-Analysis

description: <b><i>Background:</i></b> Extracorporeal carbon dioxide removal (ECCO<sub>2</sub>R) was used to prevent invasive mechanical ventilation and associated mechanical damage in patients with acute respiratory distress syndrome (ARDS). <b><i>Objectives:</i></b> This study aimed to investigate the efficacy and safety of ECCO<sub>2</sub>R treatment in patients with ARDS or chronic obstructive pulmonary disease (COPD). <b><i>Methods:</i></b> MEDLINE, EMBASE, and the Cochrane Library were systematically searched for relevant studies that reported patient prognosis, blood gas parameters, and ECCO<sub>2</sub>R-related adverse events (AEs) published as of September 2020. Odds ratios (ORs), weighted mean differences (WMDs), and their corresponding 95% confidence intervals (CIs) were used to compare the outcomes. <b><i>Results:</i></b> Fifteen studies involving 532 ARDS or COPD patients were included. Compared with controls, ECCO<sub>2</sub>R did not influence the 28-day mortality (OR = 0.73, 95% CI: 0.28–1.87, <i>p</i> = 0.51), the length of hospital stay (WMD = 3.34, 95% CI: −5.22 to 11.90, <i>p</i> = 0.444), and the length of intensive care unit stay (WMD = −0.39, 95% CI: −8.76 to 7.99, <i>p</i> = 0.928). Compared with baseline values, partial pressure of carbon dioxide (PaCO<sub>2</sub>) in the ECCO<sub>2</sub>R group was significantly reduced, while the ratio of arterial oxygen partial pressure to fractional inspired oxygen (PaO<sub>2</sub>/FiO<sub>2</sub>) and pH increased. The overall rate of ECCO<sub>2</sub>R-related AEs was 35% (95% CI: 17–53%, <i>p</i> &lt; 0.001), and bleeding was the most common AE with a rate of 22% (95% CI: 13–31%, <i>p</i> = 0.002). The rate of ECCO<sub>2</sub>R-related deaths was low. <b><i>Conclusions:</i></b> In conclusion, there was no statistically significant difference in the prognosis of patients with and without ECCO<sub>2</sub>R treatment. ECCO<sub>2</sub>R significantly reduced PaCO<sub>2</sub> and improved PaO<sub>2</sub>/FiO<sub>2</sub> and pH values in patients with ARDS or COPD. Bleeding was the most common ECCO<sub>2</sub>R-related AE.
DOI: 10.17630/42d976af-ab9f-4ed9-8fb0-52646f4d16b6
title: Optimisation of the synthesis of CuCrO2 using molecular beam epitaxy (thesis data)

description: The attached data underpins the publication "Optimisation of the synthesis of CuCrO2 using molecular beam epitaxy". The following file types and formats are included:
- Reflective High Energy Electron diffraction images: .img/.avi/.imm (can be open using kSA RHEED software) & .png (can be opened with any standard image viewing software).
- RHEED intensity line cuts: .png (open using standard image viewing software)
- RHEED intensity oscillations: .kdt (opening using kSA RHEED software)
- X-ray diffraction data: .brml (opened using PANanalytical or other proprietary software), .Eva (opened using Brucker Diffrac.EVA software)
X-ray diffraction pattern images: .png (open with standard image viewing software)
- Python programs for data analysis: .ipynb (open with Jupyter Notebook or other python software)
- Atomic Force Microscopy images: .png (open with standard image viewing software)
The data files are embargoed until 30/04/2026
DOI: 10.6084/m9.figshare.1112520.v3
title: Testing as an Essential Process for Developing and Maintaining Scientific Software

description: To be submitted to WSSSPE2
DOI: 10.6084/m9.figshare.12642623.v1
title: professor academic mobility data merged from ORCID and CCIHE

description: The 2018 version of ORCID data was collected through Figshare. We limited researchers to U.S. tenure-track or tenured professors, meaning that all affiliations on a researcher’s profile must be in the U.S. (or its territories) and any professorship position needs to be an assistant, associate, or full professorship. To ensure data recency, only profiles that were last updated in October 2016 or later were included. In total, 47,044 professors met the criteria; among them, 38,426 did not have a change in rank or organization and thus not included. We then linked ORCID with CCIHE. The linkage resulted in 10,656 records that are fully matched with CCIHE; among these, 4,718 only had rank change and 5,938 have an organization change (2,278 had both rank and organization change while 3,660 only had organization change). Several columns in the current data contain numeric codes from CCIHE. CCIHE data including code book can be downloaded at http://carnegieclassifications.iu.edu/downloads/CCIHE2018-PublicData.xlsx