cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4247253
title: Bakta database

description: This data repository contains the mandatory DB for Bakta (db.tar.gz). Bakta is a tool for the rapid & standardized local annotation of bacterial genomes & plasmids. It provides <strong>dbxref</strong>-rich and <strong>sORF</strong>-including annotations in machine-readble <code>JSON</code> & bioinformatics standard file formats for automatic downstream analysis: https://github.com/oschwengers/bakta This db provides protein sequence hash digests and lengths of UniProt's UniRef100/UniRef90 clusters for ultra-fast identification & lookups. It has been pre-annotated with several specialized db and enriched with Dbxrefs. All conducted pre-annotations are logged and provided in the db.log.gz file. External db used & versions: Rfam: 14.2 UniProtKB/Swiss-Prot: 2020_04 RefSeq: r202 NCBI AMRFinderPlus: 2020-09-22.2 COG: 2014 Mob-suite: 2.0 DoriC: 10<br>
DOI: 10.5281/zenodo.4337350
title: Bakta database

description: This data repository contains the mandatory DB for Bakta (db.tar.gz). Bakta is a tool for the rapid & standardized local annotation of bacterial genomes & plasmids. It provides <strong>dbxref</strong>-rich and <strong>sORF</strong>-including annotations in machine-readble <code>JSON</code> & bioinformatics standard file formats for automatic downstream analysis: https://github.com/oschwengers/bakta This db provides protein sequence hash digests and lengths of UniProt's UniRef100/UniRef90 clusters for ultra-fast identification & lookups. It has been pre-annotated with several specialized db and enriched with Dbxrefs. All conducted pre-annotations are logged and provided in the db.log.gz file. External db used & versions: Rfam: 14.3 UniProtKB/Swiss-Prot: 2020_05 RefSeq: r202 NCBI AMRFinderPlus: 2020-11-09.1 COG: 2020 ISFinder: 2019-09-25 Mob-suite: 2.0 DoriC: 10 Pfam: 33.1<br>
DOI: 10.5281/zenodo.4662588
title: Bakta database

description: This data repository contains the mandatory DB for Bakta (db.tar.gz). Bakta is a tool for the rapid & standardized local annotation of bacterial genomes & plasmids. It provides <strong>dbxref</strong>-rich and <strong>sORF</strong>-including annotations in machine-readble <code>JSON</code> & bioinformatics standard file formats for automatic downstream analysis: https://github.com/oschwengers/bakta This db provides protein sequence hash digests and lengths of UniProt's UniRef100/UniRef90 clusters for ultra-fast identification & lookups. It has been pre-annotated with several specialized db and enriched with Dbxrefs. All conducted pre-annotations are logged and provided in the db.log.gz file. External DB versions: NCBI AMRFinderPlus: 2021-03-01 COG: 2020 DoriC: 10 ISFinder: 2019-09-25 Mob-suite: 2.0 Pfam: 34 RefSeq: r205 Rfam: 14.5 UniProtKB/Swiss-Prot: 2021_01 VFDB: 2021-04-05<br>
DOI: 10.5281/zenodo.5215743
title: Bakta database

description: This data repository contains the mandatory DB for Bakta (db.tar.gz). Bakta is a tool for the rapid & standardized local annotation of bacterial genomes & plasmids. It provides <strong>dbxref</strong>-rich and <strong>sORF</strong>-including annotations in machine-readble <code>JSON</code> & bioinformatics standard file formats for automatic downstream analysis: https://github.com/oschwengers/bakta This db provides protein sequence hash digests and lengths of UniProt's UniRef100 clusters, UniParc and NCBI RefSeq sequences for ultra-fast identification & lookups. It has been pre-annotated with several specialized db and enriched with Dbxrefs. Furthermore, seed sequences of UniProt's UniRef90 clusters are stored for fallback homology searches via Diamond sequence alignments. All conducted pre-annotations are logged and provided in the db.log.gz file. External DB versions: NCBI AMRFinderPlus: 2021-08-05 COG: 2020 DoriC: 10 ISFinder: 2019-09-25 Mob-suite: 2.0 Pfam: 34 RefSeq: r207 Rfam: 14.6 UniProtKB/Swiss-Prot: 2021_03 VFDB: 2021-08-05<br>
DOI: 10.5281/zenodo.5961398
title: Bakta database

description: This data repository contains the mandatory DB for Bakta (db.tar.gz). Bakta is a tool for the rapid & standardized local annotation of bacterial genomes & plasmids. It provides <strong>dbxref</strong>-rich and <strong>sORF</strong>-including annotations in machine-readble <code>JSON</code> & bioinformatics standard file formats for automatic downstream analysis: https://github.com/oschwengers/bakta This db provides protein sequence hash digests and lengths of UniProt's UniRef100 clusters, UniParc and NCBI RefSeq sequences for ultra-fast identification & lookups. It has been pre-annotated with several specialized db and enriched with Dbxrefs. Furthermore, seed sequences of UniProt's UniRef90 clusters are stored for fallback homology searches via Diamond sequence alignments. All conducted pre-annotations are logged and provided in the db.log.gz file. External DB versions: NCBI AMRFinderPlus: 2022-01-28 COG: 2020 DoriC: 10 ISFinder: 2019-09-25 Mob-suite: 2.0 Pfam: 35 RefSeq: r210 Rfam: 14.7 UniProtKB/Swiss-Prot: 2021_04 VFDB: 2022-01-28<br>
DOI: 10.5281/zenodo.7025248
title: Bakta database

description: This data repository contains the mandatory DB for Bakta (db.tar.gz). Bakta is a tool for the rapid & standardized local annotation of bacterial genomes & plasmids. It provides <strong>dbxref</strong>-rich and <strong>sORF</strong>-including annotations in machine-readble <code>JSON</code> & bioinformatics standard file formats for automatic downstream analysis: https://github.com/oschwengers/bakta This db provides protein sequence hash digests and lengths of UniProt's UniRef100 clusters, UniParc and NCBI RefSeq sequences for ultra-fast identification & lookups. It has been pre-annotated with several specialized db and enriched with Dbxrefs. Furthermore, seed sequences of UniProt's UniRef90 clusters are stored for fallback homology searches via Diamond sequence alignments. All conducted pre-annotations are logged and provided in the db.log.gz file. External DB versions: NCBI AMRFinderPlus: 2022-08-09.1 COG: 2020 DoriC: 10 ISFinder: 2019-09-25 Mob-suite: 2.0 Pfam: 35 RefSeq: r213 Rfam: 14.8 UniProtKB/Swiss-Prot: 2022_03 VFDB: 2022-08-19<br>
DOI: 10.5281/zenodo.7669534
title: Bakta database

description: This data repository contains the mandatory DB for Bakta. It is available in 2 versions: the default (db.tar.gz or) and a lightweight alternative (db-light.tar.gz). Bakta is a tool for the rapid & standardized local annotation of bacterial genomes & plasmids. It provides <strong>dbxref</strong>-rich and <strong>sORF</strong>-including annotations in machine-readble <code>JSON</code> & bioinformatics standard file formats for automatic downstream analysis: https://github.com/oschwengers/bakta This db provides protein sequence hash digests and lengths of UniProt's UniRef100 clusters, UniParc and NCBI RefSeq sequences for ultra-fast identification & lookups. It has been pre-annotated with several specialized db and enriched with Dbxrefs. Furthermore, seed sequences of UniProt's UniRef90 clusters are stored for fallback homology searches via Diamond sequence alignments. All conducted pre-annotations are logged and provided in the db.log.gz file. External DB versions: NCBI AMRFinderPlus: 2022-12-19.1 COG: 2020 DoriC: 12 ISFinder: 2019-09-25 Mob-suite: 2.0 Pfam: 35 RefSeq: r216 Rfam: 14.9 UniProtKB/Swiss-Prot: 2022_05 VFDB: 2023-02-10<br>
DOI: 10.5281/zenodo.11184489
title: Research data for "Understanding phase transitions of α-quartz under dynamic compression conditions by machine-learning driven atomistic simulations"

description: This dataset supports the paper "Understanding phase transitions of α-quartz under dynamic compression conditions by machine-learning driven atomistic simulations". The paper is online here:

The following files are provided:



Input files for the shock simulation as well as a number of snapshots from this shock simulation

Final structures of the strain diagram from different supercell sizes

Snapshot files from the SS-NEB calculations
DOI: 10.5281/zenodo.11184490
title: Research data for "Understanding phase transitions of α-quartz under dynamic compression conditions by machine-learning driven atomistic simulations"

description: This dataset supports the paper "Understanding phase transitions of α-quartz under dynamic compression conditions by machine-learning driven atomistic simulations". The paper is online here:

The following files are provided:



Input files for the shock simulation as well as a number of snapshots from this shock simulation

Final structures of the strain diagram from different supercell sizes

Snapshot files from the SS-NEB calculations
DOI: 10.15468/dl.kw2ur7
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erysimum arbuscula (Lowe) Snogerup",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000220-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atbefa
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lithocarpus dalatensis A.Camus"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000221-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eybj7j
title: Occurrence Download

description: A dataset containing 741 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Malaysia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhizophoraceae"
 ]
}

 The dataset includes 741 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000227-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.huk4sa
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((109.27416 -0.08029,109.35838 -0.08029,109.35838 -0.02311,109.27416 -0.02311,109.27416 -0.08029))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gnetum gnemon L.",
 "Year 2020-2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000222-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89ryw4
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lithocarpus daphnoideus (Blume) A.Camus"
 ]
}

 The dataset includes 171 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000223-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6b7auq
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Madagascar",
 "Month is August",
 "PublishingOrg is 061b4f20-f241-11da-a328-b8a03c50a862",
 "TaxonKey is one of (Cyperaceae, Bulbostylis Kunth)"
 ]
}

 The dataset includes 36 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000228-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zyeq48
title: Occurrence Download

description: A dataset containing 7677 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bothrops asper (Garman, 1883)"
 ]
}

 The dataset includes 7677 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000229-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p94a4p
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lithocarpus dasystachyus (Miq.) Rehder"
 ]
}

 The dataset includes 194 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000224-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hfgnbk
title: Occurrence Download

description: A dataset containing 9198 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crocodylus acutus (Cuvier, 1807)"
 ]
}

 The dataset includes 9198 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000231-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rw9vb
title: Occurrence Download

description: A dataset containing 16140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago rigidula (L.) All.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16140 records from 333 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000232-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr03944.v2
title: ABC News Saddam Hussein Capture Poll, December 2003
title: Version 2

description: This special topic poll is part of a continuing series of
 monthly surveys that solicit public opinion on the presidency and on a
 range of other political and social issues. The focus of this data
 collection was on the situation in Iraq and the recent capture of
 former Iraqi leader Saddam Hussein. Those surveyed were asked to give
 their approval rating of President George W. Bush and his handling of
 the situation in Iraq. Respondents were asked to assess the
 costs/benefits of the Iraq War and to comment on whether they thought
 it was worth fighting or not, if they had heard of the capture of
 Saddam Hussein, and whether they thought that his capture meant "the
 big challenges facing the United States in Iraq are over." Those
 polled were asked for their opinion on whether the capture of Saddam
 Hussein would help to restore peace and stability in Iraq, would help
 to end attacks on United States and coalition forces in Iraq, would
 contribute to long-term peace and stability in the Mideast, and would
 also contribute to the long-term security of the United States.
 Respondents were asked if they believed that United States forces
 should leave Iraq now that Saddam Hussein had been captured, or if the
 forces should remain in Iraq until a stable government was in place.
 Additional questions included whether those surveyed felt that Saddam
 Hussein should be put on trial by an Iraqi tribunal or a United
 Nations tribunal, and what punishment they preferred for him.
 Respondents' perceptions of the progress in Iraq was also measured.
Demographic information includes political affiliation and gender.
description: Households were selected by random-digit dialing. Within
 households, the respondent selected was the adult living in the
 household who last had a birthday and who was home at the time of the
interview.
description: Datasets: 
DS1: ABC News Saddam Hussein Capture Poll, December 2003
description: Persons aged 18 and over living in households with
telephones in the contiguous 48 United States.
description: (1) Additional information about sampling,
 interviewing, weighting, and sampling error may be found in the
 codebook. (2) The data are provided as an SPSS portable file. (3)
 This collection has not been processed by ICPSR staff. ICPSR is
 distributing the data and documentation for this collection in
 essentially the same form in which they were received. When
 appropriate, documentation has been converted to Portable Document
 Format (PDF), data files have been converted to non-platform-specific
 formats, and variables have been recoded to ensure respondents'
 anonymity. (4) The codebook is provided by ICPSR as a Portable
 Document Format (PDF) file. The PDF file format was developed by Adobe
 Systems Incorporated and can be accessed using PDF reader software,
 such as the Adobe Acrobat Reader. Information on how to obtain a copy
of the Acrobat Reader is provided on the ICPSR Web site.
DOI: 10.3886/icpsr03944
title: ABC News Saddam Hussein Capture Poll, December 2003
title: Archival Version

description: This special topic poll is part of a continuing series of
 monthly surveys that solicit public opinion on the presidency and on a
 range of other political and social issues. The focus of this data
 collection was on the situation in Iraq and the recent capture of
 former Iraqi leader Saddam Hussein. Those surveyed were asked to give
 their approval rating of President George W. Bush and his handling of
 the situation in Iraq. Respondents were asked to assess the
 costs/benefits of the Iraq War and to comment on whether they thought
 it was worth fighting or not, if they had heard of the capture of
 Saddam Hussein, and whether they thought that his capture meant "the
 big challenges facing the United States in Iraq are over." Those
 polled were asked for their opinion on whether the capture of Saddam
 Hussein would help to restore peace and stability in Iraq, would help
 to end attacks on United States and coalition forces in Iraq, would
 contribute to long-term peace and stability in the Mideast, and would
 also contribute to the long-term security of the United States.
 Respondents were asked if they believed that United States forces
 should leave Iraq now that Saddam Hussein had been captured, or if the
 forces should remain in Iraq until a stable government was in place.
 Additional questions included whether those surveyed felt that Saddam
 Hussein should be put on trial by an Iraqi tribunal or a United
 Nations tribunal, and what punishment they preferred for him.
 Respondents' perceptions of the progress in Iraq was also measured.
Demographic information includes political affiliation and gender.
description: Households were selected by random-digit dialing. Within
 households, the respondent selected was the adult living in the
 household who last had a birthday and who was home at the time of the
interview.
description: Datasets: 
DS1: ABC News Saddam Hussein Capture Poll, December 2003
description: Persons aged 18 and over living in households with
telephones in the contiguous 48 United States.
description: (1) Additional information about sampling,
 interviewing, weighting, and sampling error may be found in the
 codebook. (2) The data are provided as an SPSS portable file. (3)
 This collection has not been processed by ICPSR staff. ICPSR is
 distributing the data and documentation for this collection in
 essentially the same form in which they were received. When
 appropriate, documentation has been converted to Portable Document
 Format (PDF), data files have been converted to non-platform-specific
 formats, and variables have been recoded to ensure respondents'
 anonymity. (4) The codebook is provided by ICPSR as a Portable
 Document Format (PDF) file. The PDF file format was developed by Adobe
 Systems Incorporated and can be accessed using PDF reader software,
 such as the Adobe Acrobat Reader. Information on how to obtain a copy
of the Acrobat Reader is provided on the ICPSR Web site.
DOI: 10.15156/bio/sh0026038.10fu
title: SH0026038.10FU

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: 10.3535/5gf-wdk-xvh
title: Viola mirabilis L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/821-0lf-kf1
title: Viola canina subsp. ruppii (All.) Schübl. & G. Martens

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0026039.10fu
title: SH0026039.10FU

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: 10.3535/d66-eay-sed
title: Viola mirabilis L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/knf-hxn-nsy
title: Hippuris vulgaris L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.