cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11194009
title: Coastal and Marine Ecological Classification Standard (CMECS) Catalog

description: The Coastal and Marine Ecological Classification Standard (CMECS) Catalog is the authoritative collection of ecological units (terms + definitions) and unit relationships (the CMECS classification framework).

The CMECS Catalog is the complete representation of the CMECS classification. It contains all units that are or have been members of the CMECS classification throughout its lifecycle, as well as various annotations that provide metadata for each unit that enable Findability, Accessibility, Interoperability, and Reuse (FAIR, https://www.go-fair.org/fair-principles/). The CMECS Catalog (cmecs.owl) file is stored and managed in a Git repository; authoritative versions are publicly released via the NOAA-OCM/cmecs GitHub as changes are made. Version releases also include the CMECS Catalog in CSV and XLXS formats. A browsable text output of the CMECS Catalog ecological units and implementation guidance, the CMECS Thesaurus, is also available in PDF and MD formats.

This release includes changes to the Substrate Component and Modifier additions.

Please contact the CMECS Implementation Group with any questions at ocm.cmecs-ig@noaa.gov

For more information about the CMECS Catalog, see the https://github.com/NOAA-OCM/cmecs/wiki.

For more information about CMECS, including technical guidance and classification examples, visit the NOAA Integrated Ocean and Coastal Mapping (IOCM) team's CMECS webpage.

CMECS follows a Dynamic Standard Process to review and adopt changes that are proposed by the CMECS user community when necessary. More information about CMECS maintenance can be found on the NOAA National Centers for Environmental Information (NCEI) CMECS webpage under the Vocabulary Maintenance section, along with instructions for proposing revisions to CMECS and a form for submitting proposals.
description: DISCLAIMER

Software code created by U.S. Government employees is not subject to copyright in the United States (17 U.S.C. §105). The United States/Department of Commerce reserve all rights to seek and obtain copyright protection in countries other than the United States for Software authored in its entirety by the Department of Commerce. To this end, the Department of Commerce hereby grants to Recipient a royalty-free, nonexclusive license to use, copy, and create derivative works of the Software outside of the United States.
DOI: 10.5281/zenodo.14940832
title: Coastal and Marine Ecological Classification Standard (CMECS) Catalog

description: The Coastal and Marine Ecological Classification Standard (CMECS) Catalog is the authoritative collection of ecological units (terms + definitions) and unit relationships (the CMECS classification framework).

The CMECS Catalog is the complete representation of the CMECS classification. It contains all units that are or have been members of the CMECS classification throughout its lifecycle, as well as various annotations that provide metadata for each unit that enable Findability, Accessibility, Interoperability, and Reuse (FAIR, https://www.go-fair.org/fair-principles/). The CMECS Catalog (cmecs.owl) file is stored and managed in a Git repository; authoritative versions are publicly released via the NOAA-OCM/cmecs GitHub as changes are made. Version releases also include the CMECS Catalog in CSV and XLSX formats. A browsable text output of the CMECS Catalog ecological units and implementation guidance, the CMECS Thesaurus, is also available in PDF and MD formats.

This release includes changes to the Substrate Component Unit Codes and fixes to Biotic Component typographical errors. Details are available on the CMECS GitHub v1.1.1 Release Page.

Questions? Please contact the CMECS Implementation Group at ocm.cmecs-ig@noaa.gov

For more information about the CMECS Catalog, see the https://github.com/NOAA-OCM/cmecs/wiki.

For more information about CMECS, including technical guidance and classification examples, visit the NOAA Integrated Ocean and Coastal Mapping (IOCM) team's CMECS webpage.

CMECS follows a Dynamic Standard Process to review and adopt changes that are proposed by the CMECS user community when necessary. More information about CMECS maintenance can be found on the NOAA National Centers for Environmental Information (NCEI) CMECS webpage under the Vocabulary Maintenance section, along with instructions for proposing revisions to CMECS and a form for submitting proposals.
description: DISCLAIMER

Software code created by U.S. Government employees is not subject to copyright in the United States (17 U.S.C. §105). The United States/Department of Commerce reserve all rights to seek and obtain copyright protection in countries other than the United States for Software authored in its entirety by the Department of Commerce. To this end, the Department of Commerce hereby grants to Recipient a royalty-free, nonexclusive license to use, copy, and create derivative works of the Software outside of the United States.
DOI: 10.15468/dl.3fjwnx
title: Occurrence Download

description: A dataset containing 361499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-01-02",
 "EventDate is less than or equal to 2025-02-01",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 361499 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000053-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3k2r6
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anarchias galapagensis (Seale, 1940)"
 ]
}

 The dataset includes 168 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000055-250227182400228/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.28508981
title: Singapore's trade and exchange with China 19th century

description: A dataset for Singapore's trade and foreign exchange with China and Hong Kong during the 19th century
DOI: 10.15468/dl.hmwgnh
title: Occurrence Download

description: A dataset containing 1713774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-89.5 33.55,-70.34 33.55,-70.34 37.23,-89.5 37.23,-89.5 33.55))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1713774 records from 377 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000053-250227182400228/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.cc2g0wft
title: CCDC 2264966: Experimental Crystal Structure Determination

description: Related Article: Qiang Zhang, Ya-Ru Shao, Zhuo-Fei Li, Yi-Long Li, Zi-Yi Tang, Shan-Qing Yang, Tong-Liang Hu|2025|Sep.Purif.Technol.|354|129311|doi:10.1016/j.seppur.2024.129311
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.cc2kmhmb
title: CCDC 2372232: Experimental Crystal Structure Determination

description: Related Article: Phan N Phu, Justin L. Lee, Saborni Biswas, Joseph W. Ziller, Emile L. Bominaar, Michael P. Hendrich, Andrew S. Borovik
|2025|J.Am.Chem.Soc.|147|3129|doi:10.1021/jacs.4c12327
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.cc2kmhnc
title: CCDC 2372233: Experimental Crystal Structure Determination

description: Related Article: Phan N Phu, Justin L. Lee, Saborni Biswas, Joseph W. Ziller, Emile L. Bominaar, Michael P. Hendrich, Andrew S. Borovik
|2025|J.Am.Chem.Soc.|147|3129|doi:10.1021/jacs.4c12327
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.cc2krzq1
title: CCDC 2376544: Experimental Crystal Structure Determination

description: Related Article: Tomaz Henrique Duarte Chorro, Clemens Kaussler, Julia V. Kolodiazhnaia, Frank Jensen, Troels Skrydstrup, Carlos Roque D. Correia|2025|Org.Chem.Front.|12|1257|doi:10.1039/D4QO01979B
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.cc2kmhpd
title: CCDC 2372234: Experimental Crystal Structure Determination

description: Related Article: Phan N Phu, Justin L. Lee, Saborni Biswas, Joseph W. Ziller, Emile L. Bominaar, Michael P. Hendrich, Andrew S. Borovik
|2025|J.Am.Chem.Soc.|147|3129|doi:10.1021/jacs.4c12327
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.cc2krzr2
title: CCDC 2376545: Experimental Crystal Structure Determination

description: Related Article: Tomaz Henrique Duarte Chorro, Clemens Kaussler, Julia V. Kolodiazhnaia, Frank Jensen, Troels Skrydstrup, Carlos Roque D. Correia|2025|Org.Chem.Front.|12|1257|doi:10.1039/D4QO01979B
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: 10.6073/pasta/8809f02e520c95285df7cba3229f7c43
title: Biogeochemical data collected from Northeast Shark River Slough, Everglades National Park, Florida, USA, 2006 - ongoing

description: This project was established in 2006 to document the pattern of abundance of key ecological indicators (e.g., surface water, soil, floc, periphyton and sawgrass) across the NESRS landscape. A total of 30 sites were established and monitored in 2006, 2007 and 2008. After the completion of 1-mile bridge in 2012, additional 10 new sites were established to observe the ecological impact of 1-mile bridge (known as Bridge & Census sites). In 2015, additional 40 sites were established along eight transects (T1-T8, known as near canal sites) in ENP marshes starting at, and roughly perpendicular to the L-29 canal. The purpose of these sites was to monitor the potential effects of Modified Water Deliveries (MWD) operations on changing nutrient concentrations and ratios in key ecological compartments due to increased downstream discharges from the L-29 canal beneath the 1-mile and 2.6-mile bridges and culverts along Tamiami Trail.
DOI: 10.15468/dl.xejkes
title: Occurrence Download

description: A dataset containing 97167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-02-02",
 "EventDate is less than or equal to 2025-03-04",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 97167 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000055-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.crur2n
title: Occurrence Download

description: A dataset containing 2152 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Agonandra brasiliensis Benth. & Hook.f.)"
 ]
}

 The dataset includes 2152 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000057-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive317.20250331.9.3
title: Achromobacter denitrificans (Rüger and Tan 1983) Coenye et al. 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive317.20251217.10
title: Achromobacter denitrificans (Rüger and Tan 1983) Coenye et al. 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0068672.10fu
title: SH0068672.10FU

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: 10.13145/bacdive318.20250331.9.3
title: Achromobacter denitrificans (Rüger and Tan 1983) Coenye et al. 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0068673.10fu
title: SH0068673.10FU

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: 10.13145/bacdive318.20251217.10
title: Achromobacter denitrificans (Rüger and Tan 1983) Coenye et al. 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0068674.10fu
title: SH0068674.10FU

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: 10.13145/bacdive319.20241212.9.2
title: Corynebacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive319.20251217.10
title: Corynebacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0068675.10fu
title: SH0068675.10FU

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: 10.13145/bacdive320.20250331.9.3
title: Achromobacter piechaudii (Kiredjian et al. 1986) Yabuuchi et al. 1998

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive320.20251217.10
title: Achromobacter piechaudii (Kiredjian et al. 1986) Yabuuchi et al. 1998

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0068676.10fu
title: SH0068676.10FU

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: 10.13145/bacdive321.20241212.9.2
title: Achromobacter spanius Coenye et al. 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive321.20251217.10
title: Achromobacter spanius Coenye et al. 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0068677.10fu
title: SH0068677.10FU

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: 10.13145/bacdive322.20250331.9.3
title: Achromobacter insolitus Coenye et al. 2003

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.