cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1218459.10fu
title: SH1218459.10FU

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/sh1218464.10fu
title: SH1218464.10FU

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/sh1218474.10fu
title: SH1218474.10FU

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/sh1218482.10fu
title: SH1218482.10FU

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/sh1218484.10fu
title: SH1218484.10FU

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/sh1218485.10fu
title: SH1218485.10FU

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: 10.15468/dl.3374ny
title: Occurrence Download

description: A dataset containing 77503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arrhenatherum elatius, Arrhenatherum elatius)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 77503 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012205-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26030/fe3f-dd67
title: Spaceflight induces systemic effects on extracellular matrix and immune system in different age-stages - Skeletal stem cells data

description: Spaceflights significantly impacts astronaut health, causing muscle atrophy, bone loss, cardiovascular deconditioning and immune system dysregulation, especially during long missions. To explore molecular changes, we generated a single-cell RNA sequencing dataset, of 216 samples from 28 mouse organs and tissues under spaceflight and control conditions. Since spaceflight effects closely resemble aspects of aging, we included two age groups (3 and 8 months) to assess age-related influences. Our data revealed that spaceflight drives age-independent systemic changes, primarily affecting tissue remodeling and alterations in cytoskeleton, membrane and extracellular matrix (ECM), particularly in endothelial cells. In contrast, aging has a weaker impact, mainly altering immune regulation in an age-dependent manner. These findings suggest that cytoskeletal and ECM changes may contribute to immune Dysregulation.
DOI: 10.6084/m9.figshare.30153313
title: Table S2 - HSS demographic data

description: Actual enrollment numbers of human subjects in NIAID-funded COVID-19 cohort studies, broken down by race and sex demographics.
DOI: 10.6084/m9.figshare.30153313.v1
title: Table S2 - HSS demographic data

description: Actual enrollment numbers of human subjects in NIAID-funded COVID-19 cohort studies, broken down by race and sex demographics.
DOI: 10.5281/zenodo.18485818
title: SuperDARN data in netCDF format (2012-Oct)

description: 2012-Oct SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6519334
title: SuperDARN data in netCDF format (2012-Oct)

description: 2012-Oct SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.25934/pr00012631.0
title: Available datapackage for study 'Sin Duda: A Community-driven Approach to Expand Reach, Access and Uptake of COVID-19 Home-Based Tests for At-Risk Latinos'

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: 10.15468/dl.xhfk3d
title: Occurrence Download

description: A dataset containing 507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jateorhiza macrantha",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 507 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012247-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2j4n5j
title: CCDC 2328167: Experimental Crystal Structure Determination

description: Related Article: I. A. Shentseva, A. N. Usoltsev, N. A. Korobeynikov, I. V. Korolkov, M. N. Sokolov, S. A. Adonin|2024|Zh.Neorg.Khim.|69|999|doi:10.31857/S0044457X24070071
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.cc2j7071
title: CCDC 2330432: Experimental Crystal Structure Determination

description: Related Article: A. S. Zaguzin, M. A. Bondarenko, N. A. Korobeynikov, A. N. Usoltsev, V. P. Fedin, S. A. Adonin |2024|Zh.Neorg.Khim.|69|1015|doi:10.31857/S0044457X24070096
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: 10.15468/dl.sp4qc4
title: Occurrence Download

description: A dataset containing 7821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Artemisia campestris, Artemisia campestris, Artemisia campestris, Artemisia campestris, Artemisia campestris, Artemisia campestris, Artemisia campestris, Artemisia campestris)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 7821 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012249-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2j7082
title: CCDC 2330433: Experimental Crystal Structure Determination

description: Related Article: A. S. Zaguzin, M. A. Bondarenko, N. A. Korobeynikov, A. N. Usoltsev, V. P. Fedin, S. A. Adonin |2024|Zh.Neorg.Khim.|69|1015|doi:10.31857/S0044457X24070096
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.cc2j7hs2
title: CCDC 2330914: Experimental Crystal Structure Determination

description: Related Article: I. A. Shentseva, K. A. Tagiltsev, A. N. Usol’tsev, N. A. Korobeynikov, V. R. Shayapov, M. N. Sokolov, S. A. Adonin |2024|Zh.Neorg.Khim.|69|1128|doi:10.31857/S0044457X24080053
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.cc2j7ht3
title: CCDC 2330915: Experimental Crystal Structure Determination

description: Related Article: I. A. Shentseva, K. A. Tagiltsev, A. N. Usol’tsev, N. A. Korobeynikov, V. R. Shayapov, M. N. Sokolov, S. A. Adonin |2024|Zh.Neorg.Khim.|69|1128|doi:10.31857/S0044457X24080053
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.cc2j4n6k
title: CCDC 2328168: Experimental Crystal Structure Determination

description: Related Article: I. A. Shentseva, A. N. Usoltsev, N. A. Korobeynikov, I. V. Korolkov, M. N. Sokolov, S. A. Adonin|2024|Zh.Neorg.Khim.|69|999|doi:10.31857/S0044457X24070071
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.cc2kr2v8
title: CCDC 2375680: Experimental Crystal Structure Determination

description: Related Article: Hao Jiang, Salma Benzaria, Norah Alsadun, Jiangtao Jia, Justyna Czaban-Jóźwiak, Vincent Guillerm, Aleksander Shkurenko, Zeynabou Thiam, Mickaele Bonneau, Vijay K. Maka, Zhijie Chen, Zied Ouled Ameur, Michael O’Keeffe, Mohamed Eddaoudi |2024|Science|386|659|doi:10.1126/science.ads7866
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.cc2kr2w9
title: CCDC 2375681: Experimental Crystal Structure Determination

description: Related Article: Hao Jiang, Salma Benzaria, Norah Alsadun, Jiangtao Jia, Justyna Czaban-Jóźwiak, Vincent Guillerm, Aleksander Shkurenko, Zeynabou Thiam, Mickaele Bonneau, Vijay K. Maka, Zhijie Chen, Zied Ouled Ameur, Michael O’Keeffe, Mohamed Eddaoudi |2024|Science|386|659|doi:10.1126/science.ads7866
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.cc2kr2yc
title: CCDC 2375683: Experimental Crystal Structure Determination

description: Related Article: Hao Jiang, Salma Benzaria, Norah Alsadun, Jiangtao Jia, Justyna Czaban-Jóźwiak, Vincent Guillerm, Aleksander Shkurenko, Zeynabou Thiam, Mickaele Bonneau, Vijay K. Maka, Zhijie Chen, Zied Ouled Ameur, Michael O’Keeffe, Mohamed Eddaoudi |2024|Science|386|659|doi:10.1126/science.ads7866
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.cc2kr2zd
title: CCDC 2375684: Experimental Crystal Structure Determination

description: Related Article: Hao Jiang, Salma Benzaria, Norah Alsadun, Jiangtao Jia, Justyna Czaban-Jóźwiak, Vincent Guillerm, Aleksander Shkurenko, Zeynabou Thiam, Mickaele Bonneau, Vijay K. Maka, Zhijie Chen, Zied Ouled Ameur, Michael O’Keeffe, Mohamed Eddaoudi |2024|Science|386|659|doi:10.1126/science.ads7866
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.cc2kr30g
title: CCDC 2375685: Experimental Crystal Structure Determination

description: Related Article: Hao Jiang, Salma Benzaria, Norah Alsadun, Jiangtao Jia, Justyna Czaban-Jóźwiak, Vincent Guillerm, Aleksander Shkurenko, Zeynabou Thiam, Mickaele Bonneau, Vijay K. Maka, Zhijie Chen, Zied Ouled Ameur, Michael O’Keeffe, Mohamed Eddaoudi |2024|Science|386|659|doi:10.1126/science.ads7866
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.cc2kr31h
title: CCDC 2375686: Experimental Crystal Structure Determination

description: Related Article: Hao Jiang, Salma Benzaria, Norah Alsadun, Jiangtao Jia, Justyna Czaban-Jóźwiak, Vincent Guillerm, Aleksander Shkurenko, Zeynabou Thiam, Mickaele Bonneau, Vijay K. Maka, Zhijie Chen, Zied Ouled Ameur, Michael O’Keeffe, Mohamed Eddaoudi |2024|Science|386|659|doi:10.1126/science.ads7866
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.cc2kr32j
title: CCDC 2375687: Experimental Crystal Structure Determination

description: Related Article: Hao Jiang, Salma Benzaria, Norah Alsadun, Jiangtao Jia, Justyna Czaban-Jóźwiak, Vincent Guillerm, Aleksander Shkurenko, Zeynabou Thiam, Mickaele Bonneau, Vijay K. Maka, Zhijie Chen, Zied Ouled Ameur, Michael O’Keeffe, Mohamed Eddaoudi |2024|Science|386|659|doi:10.1126/science.ads7866
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: 10.15468/dl.jtsktj
title: Occurrence Download

description: A dataset containing 7309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-81.079 28.995,-80.899 28.995,-80.899 29.301,-81.079 29.301,-81.079 28.995))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 7309 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012248-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.