cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14238848
title: Raw data for the article "Bi2Se3-MWCNT heterostructures as catalysts for CO2 photothermal reduction"
DOI: 10.5281/zenodo.14250309
title: Table A.7: Binaries with separations larger than 10000 au
DOI: 10.5281/zenodo.14250310
title: Table A.7: Binaries with separations larger than 10000 au
DOI: 10.5281/zenodo.14250580
title: Table A.7: Binaries with separations larger than 10000 au
DOI: 10.15468/dl.434cum
title: Occurrence Download

description: A dataset listing the 975 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de plantas vasculares y no vasculares del Herbario de la Universidad Católica del Ecuador (QCA)"
 ]
}

 The dataset's 975 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008483-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14250566
title: Global Aerosol Models (AEROEX) based on 3-Decade AERONET data.
DOI: 10.5281/zenodo.14250567
title: Global Aerosol Models (AEROEX) based on 3-Decade AERONET data.
DOI: 10.15468/dl.j7xm2q
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oligonychus Berlese, 1886",
 "Country is China",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008486-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7nvkv
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bifrenaria tyrianthina (Lodd. ex Loudon) Rchb.f."
 ]
}

 The dataset includes 171 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008487-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybuuea
title: Occurrence Download

description: A dataset containing 30768540 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30768540 records from 2816 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008485-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/b6m1-32y5-1y0j
title: NCAR ACOM Manitou MANITOU2015 Campaign Data. Version 1.0

description: This dataset contains the MANITOU2015 campaign data collected by NSF NCAR Atmospheric Chemistry Observations & Modeling (ACOM) for the Manitou Experimental Forest Observatory (MEFO) between 2008 and 2016. The complete Manitou data archive contains data in a variety of formats (e.g., ASCII, ICARTT, JPEG) from the following field campaigns: Manitou2008, Manitou2009, Manitou2011, Manitou2014, Manitou2015, Manitou2016, SPIFFY2015, SPIFFY2016, Beachon-SRM (2008), 2010 Beachon ROCS, 2011 Beachon-RoMBAS, and 2015 Rx Burn. No data was collected for the 2016 CSU Cont. project. This dataset contains the data from the MANITOU2015 campaign. The data are from the Manitou Experimental Forest Observatory (MEFO) that was established in 2008, in an area representative of a middle-elevation (~2000-2500 m ASL). It is a semi-arid, ponderosa pine ecosystem that is common throughout the Rocky Mountain West. The station location is at 39.1006 degrees North, 105.0942 degrees West and at an elevation of 7700 feet ASL (2347 m). The chemistry tower at MEFO is a walk up type with height of 28m and there were 4 mobile laboratories with 160 Ft2 (14.9m2) space. A variety of data (e.g., meteorological, trace gases, Flux, CIMS) is contained in the Manitou data archive and it varies by year and campaign. See the dataset readme files for more information on all data collected. Learn more on the MANITOU project page at eol.ucar.edu/manitou.
DOI: 10.26023/b7ab-t5mg-3q0q
title: NCAR ACOM Manitou RXBURN2015 Campaign Data. Version 1.0

description: This dataset contains the RXBURN2015 campaign data collected by NSF NCAR Atmospheric Chemistry Observations & Modeling (ACOM) for the Manitou Experimental Forest Observatory (MEFO) between 2008 and 2016. The complete Manitou data archive contains data in a variety of formats (e.g., ASCII, ICARTT, JPEG) from the following field campaigns: Manitou2008, Manitou2009, Manitou2011, Manitou2014, Manitou2015, Manitou2016, SPIFFY2015, SPIFFY2016, Beachon-SRM (2008), 2010 Beachon ROCS, 2011 Beachon-RoMBAS, and 2015 Rx Burn. No data was collected for the 2016 CSU Cont. project. This dataset contains the data from the RXBURN2015 campaign. The data are from the Manitou Experimental Forest Observatory (MEFO) that was established in 2008, in an area representative of a middle-elevation (~2000-2500 m ASL). It is a semi-arid, ponderosa pine ecosystem that is common throughout the Rocky Mountain West. The station location is at 39.1006 degrees North, 105.0942 degrees West and at an elevation of 7700 feet ASL (2347 m). The chemistry tower at MEFO is a walk up type with height of 28m and there were 4 mobile laboratories with 160 Ft2 (14.9m2) space. A variety of data (e.g., meteorological, trace gases, Flux, CIMS) is contained in the Manitou data archive and it varies by year and campaign. See the dataset readme files for more information on all data collected. Learn more on the MANITOU project page at eol.ucar.edu/manitou.
DOI: 10.26023/sqef-yzb2-rm11
title: NCAR ACOM Manitou SPIFFY2015 Campaign Data. Version 1.0

description: This dataset contains the SPIFFY2015 campaign data collected by NSF NCAR Atmospheric Chemistry Observations & Modeling (ACOM) for the Manitou Experimental Forest Observatory (MEFO) between 2008 and 2016. The complete Manitou data archive contains data in a variety of formats (e.g., ASCII, ICARTT, JPEG) from the following field campaigns: Manitou2008, Manitou2009, Manitou2011, Manitou2014, Manitou2015, Manitou2016, SPIFFY2015, SPIFFY2016, Beachon-SRM (2008), 2010 Beachon ROCS, 2011 Beachon-RoMBAS, and 2015 Rx Burn. No data was collected for the 2016 CSU Cont. project. This dataset contains the data from the SPIFFY2015 campaign. The data are from the Manitou Experimental Forest Observatory (MEFO) that was established in 2008, in an area representative of a middle-elevation (~2000-2500 m ASL). It is a semi-arid, ponderosa pine ecosystem that is common throughout the Rocky Mountain West. The station location is at 39.1006 degrees North, 105.0942 degrees West and at an elevation of 7700 feet ASL (2347 m). The chemistry tower at MEFO is a walk up type with height of 28m and there were 4 mobile laboratories with 160 Ft2 (14.9m2) space. A variety of data (e.g., meteorological, trace gases, Flux, CIMS) is contained in the Manitou data archive and it varies by year and campaign. See the dataset readme files for more information on all data collected. Learn more on the MANITOU project page at eol.ucar.edu/manitou.
DOI: 10.26023/m5db-rx05-sg05
title: NCAR ACOM Manitou MANITOU2016 Campaign Data. Version 1.0

description: This dataset contains the MANITOU2016 campaign data collected by NSF NCAR Atmospheric Chemistry Observations & Modeling (ACOM) for the Manitou Experimental Forest Observatory (MEFO) between 2008 and 2016. The complete Manitou data archive contains data in a variety of formats (e.g., ASCII, ICARTT, JPEG) from the following field campaigns: Manitou2008, Manitou2009, Manitou2011, Manitou2014, Manitou2015, Manitou2016, SPIFFY2015, SPIFFY2016, Beachon-SRM (2008), 2010 Beachon ROCS, 2011 Beachon-RoMBAS, and 2015 Rx Burn. No data was collected for the 2016 CSU Cont. project. This dataset contains the data from the MANITOU2016 campaign. The data are from the Manitou Experimental Forest Observatory (MEFO) that was established in 2008, in an area representative of a middle-elevation (~2000-2500 m ASL). It is a semi-arid, ponderosa pine ecosystem that is common throughout the Rocky Mountain West. The station location is at 39.1006 degrees North, 105.0942 degrees West and at an elevation of 7700 feet ASL (2347 m). The chemistry tower at MEFO is a walk up type with height of 28m and there were 4 mobile laboratories with 160 Ft2 (14.9m2) space. A variety of data (e.g., meteorological, trace gases, Flux, CIMS) is contained in the Manitou data archive and it varies by year and campaign. See the dataset readme files for more information on all data collected. Learn more on the MANITOU project page at eol.ucar.edu/manitou.
DOI: 10.26023/n833-mtpz-qm0m
title: NCAR ACOM Manitou BEACHON-ROCS2010 Campaign Data. Version 1.0

description: This dataset contains the BEACHON-ROCS2010 campaign data collected by NSF NCAR Atmospheric Chemistry Observations & Modeling (ACOM) for the Manitou Experimental Forest Observatory (MEFO) between 2008 and 2016. The complete Manitou data archive contains data in a variety of formats (e.g., ASCII, ICARTT, JPEG) from the following field campaigns: Manitou2008, Manitou2009, Manitou2011, Manitou2014, Manitou2015, Manitou2016, SPIFFY2015, SPIFFY2016, Beachon-SRM (2008), 2010 Beachon ROCS, 2011 Beachon-RoMBAS, and 2015 Rx Burn. No data was collected for the 2016 CSU Cont. project. This dataset contains the data from the BEACHON-ROCS2010 campaign. The data are from the Manitou Experimental Forest Observatory (MEFO) that was established in 2008, in an area representative of a middle-elevation (~2000-2500 m ASL). It is a semi-arid, ponderosa pine ecosystem that is common throughout the Rocky Mountain West. The station location is at 39.1006 degrees North, 105.0942 degrees West and at an elevation of 7700 feet ASL (2347 m). The chemistry tower at MEFO is a walk up type with height of 28m and there were 4 mobile laboratories with 160 Ft2 (14.9m2) space. A variety of data (e.g., meteorological, trace gases, Flux, CIMS) is contained in the Manitou data archive and it varies by year and campaign. See the dataset readme files for more information on all data collected. Learn more on the MANITOU project page at eol.ucar.edu/manitou.
DOI: 10.15468/dl.znmcg7
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Panicum acuminatum Muhl., 1817",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018491-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1052433.10fu
title: SH1052433.10FU

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/sh1052436.10fu
title: SH1052436.10FU

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/sh1052437.10fu
title: SH1052437.10FU

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/sh1052438.10fu
title: SH1052438.10FU

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/sh1052439.10fu
title: SH1052439.10FU

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/sh1052440.10fu
title: SH1052440.10FU

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/sh1052442.10fu
title: SH1052442.10FU

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/sh1052448.10fu
title: SH1052448.10FU

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/sh1052450.10fu
title: SH1052450.10FU

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: 10.25549/inscriptifact-ouc111148340
title: Pyu Inscription, PYU 20

description: [Text Description:] Inscription on outer wall of the urn ❧ [Text or Publication Number Note:] PYU20 ❧ [Excavation Description:] near Hpayahtaung pagoda ❧ [Medium:] Stone ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Urn; height 106 cm, maximum circumference 273 cm, maximum depth of cavity 55 cm ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.68wws4
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Toumeyella virginiana Williams & Kosztarab, 1972",
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127518-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111148410
title: Pyu Inscription, PYU 20

description: [Text Description:] Inscription on outer wall of the urn ❧ [Text or Publication Number Note:] PYU20 ❧ [Excavation Description:] near Hpayahtaung pagoda ❧ [Medium:] Stone ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Urn; height 106 cm, maximum circumference 273 cm, maximum depth of cavity 55 cm ❧ [Physical Object Note:] Stone
DOI: 10.25549/inscriptifact-ouc111148419
title: Pyu Inscription, PYU 20

description: [Text Description:] Inscription on outer wall of the urn ❧ [Text or Publication Number Note:] PYU20 ❧ [Excavation Description:] near Hpayahtaung pagoda ❧ [Medium:] Stone ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Urn; height 106 cm, maximum circumference 273 cm, maximum depth of cavity 55 cm ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.wnd3pb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Puto laticribellum McKenzie, 1961",
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127549-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.