cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc111149760
title: Pyu Inscription, PYU 37

description: [Text Description:] Representation of preaching Budda (dharmacakramudra) ❧ [Text or Publication Number Note:] PYU37 ❧ [Excavation Description:] Ushit-bin Village, Lewe Township, near Pyinmana, Nay Pyi Taw, near Shipyin village, Leiway, Nay Pyi Taw ❧ [Medium:] Metal ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Sculpture in the round; height 15.6 cm and width 7.7 cm ❧ [Physical Object Note:] Metal
DOI: 10.25549/inscriptifact-ouc111149650
title: Pyu Inscription, PYU 37

description: [Text Description:] Representation of preaching Budda (dharmacakramudra) ❧ [Text or Publication Number Note:] PYU37 ❧ [Excavation Description:] Ushit-bin Village, Lewe Township, near Pyinmana, Nay Pyi Taw, near Shipyin village, Leiway, Nay Pyi Taw ❧ [Medium:] Metal ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Sculpture in the round; height 15.6 cm and width 7.7 cm ❧ [Physical Object Note:] Metal
DOI: 10.15468/dl.jkgccs
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Steatomys bocagei Thomas, 1892"
 ]
}

 The dataset includes 46 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0350820-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111149778
title: Pyu Inscription, PYU 37

description: [Text Description:] Representation of preaching Budda (dharmacakramudra) ❧ [Text or Publication Number Note:] PYU37 ❧ [Excavation Description:] Ushit-bin Village, Lewe Township, near Pyinmana, Nay Pyi Taw, near Shipyin village, Leiway, Nay Pyi Taw ❧ [Medium:] Metal ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Sculpture in the round; height 15.6 cm and width 7.7 cm ❧ [Physical Object Note:] Metal
DOI: 10.25549/inscriptifact-ouc111149733
title: Pyu Inscription, PYU 37

description: [Text Description:] Representation of preaching Budda (dharmacakramudra) ❧ [Text or Publication Number Note:] PYU37 ❧ [Excavation Description:] Ushit-bin Village, Lewe Township, near Pyinmana, Nay Pyi Taw, near Shipyin village, Leiway, Nay Pyi Taw ❧ [Medium:] Metal ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Sculpture in the round; height 15.6 cm and width 7.7 cm ❧ [Physical Object Note:] Metal
DOI: 10.25549/inscriptifact-ouc111149896
title: Pyu Inscription, PYU 41

description: [Text Description:] Pyu Inscription ❧ [Text or Publication Number Note:] PYU41 ❧ [Medium:] Stone ❧ [Script Note:] Southern Brahmi ❧ [Physical Object Description:] Stela; height 40 cm, width 59 cm and depth 4 cm ❧ [Physical Object Note:] Stone
DOI: 10.25549/inscriptifact-ouc111149948
title: Pyu Inscription, PYU 56

description: [Text Description:] Pyu Inscription ❧ [Text or Publication Number Note:] PYU56 ❧ [Medium:] Metal ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Foil; height 1.5-1.9 cm, width 15.2 cm ❧ [Physical Object Note:] Silver
DOI: 10.15468/dl.kvqmnr
title: Occurrence Download

description: A dataset containing 524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Manis pentadactyla Linnaeus, 1758"
 ]
}

 The dataset includes 524 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182817-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111149808
title: Pyu Inscription, PYU 41

description: [Text Description:] Pyu Inscription ❧ [Text or Publication Number Note:] PYU41 ❧ [Medium:] Stone ❧ [Script Note:] Southern Brahmi ❧ [Physical Object Description:] Stela; height 40 cm, width 59 cm and depth 4 cm ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.tzq9m7
title: Occurrence Download

description: A dataset containing 323008 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Pakistan"
 ]
}

 The dataset includes 323008 records from 606 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009994-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmgrbb
title: Occurrence Download

description: A dataset containing 2605985 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Protocole d'inventaire de la flore vasculaire à l'échelle communale-Inventaire de la flore vasculaire par commune"
 ]
}

 The dataset includes 2605985 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018499-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e226446
title: Citizen Connect - Congressional District geography 2022-2023

description: Citizen Connect - Congressional District geography (live)Research and StatisticsSpatial data representing the United States congressional districts from the 118th congress (2023-2024). These shapes are represented on the app currently hosted at bts.gov/congressionaldistricts.<br><br>Last UpdatedOctober 18, 2023<br><br>Data Provided By Bureau of Transportation Statistics<br><br>Website Screenshot stored as PDF. It contains details of the file and data dictionary.<br><br>
DOI: 10.3886/e226446v1
title: Citizen Connect - Congressional District geography 2022-2023

description: Citizen Connect - Congressional District geography (live)Research and StatisticsSpatial data representing the United States congressional districts from the 118th congress (2023-2024). These shapes are represented on the app currently hosted at bts.gov/congressionaldistricts.<br><br>Last UpdatedOctober 18, 2023<br><br>Data Provided By Bureau of Transportation Statistics<br><br>Website Screenshot stored as PDF. It contains details of the file and data dictionary.<br><br>
DOI: 10.15468/dl.ngtke7
title: Occurrence Download

description: A dataset containing 2573284 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Suffolk Biodiversity Information Service (SBIS) Dataset"
 ]
}

 The dataset includes 2573284 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018501-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kav52
title: Occurrence Download

description: A dataset containing 2593837 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is 2023 Contributions of Plant Specimen Data inside China"
 ]
}

 The dataset includes 2593837 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018500-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sasupn
title: Occurrence Download

description: A dataset containing 117252 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)"
 ]
 }
 },
 "Country is Canada",
 "TaxonKey is Callipepla californica (Shaw, 1798)"
 ]
}

 The dataset includes 117252 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018481-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axwbfb
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Bhutan, Afghanistan, Pakistan, Bangladesh, Nepal, India, Myanmar)",
 "TaxonKey is Parantica melaneus (Cramer)"
 ]
}

 The dataset includes 208 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070044-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/80c10f8aeb7049778c5a15ede4917128
title: Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.43 (v20211001)

description: Data for Figure 3.43 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 3.43 shows centred pattern correlations between models and observations for the annual mean climatology over the period 1980-1999. --------------------------------------------------- How to cite this dataset --------------------------------------------------- When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates: Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005. --------------------------------------------------- List of data provided --------------------------------------------------- This dataset contains all correlation pattern values displayed in the figure. --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- fig_3_43.nc: - variable: 'cor' with two dimensions: * 'vars': variables on the x-axis (same order as in the figure) * 'models': name of each models (the attribute 'project' contains mapping to 'CMIP3', 'CMIP5' or 'CMIP6') 'cor' refers to the pattern correlation between models and observations. CMIP3 is the third phase of the Coupled Model Intercomparison Project. CMIP5 is the fifth phase of the Coupled Model Intercomparison Project. CMIP6 is the sixth phase of the Coupled Model Intercomparison Project. --------------------------------------------------- Sources of additional information --------------------------------------------------- The following weblinks are provided in the Related Documents section of this catalogue record: - Link to the report component containing the figure (Chapter 3) - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1 - Link to the code for the figure, archived on Zenodo - Link to the figure on the IPCC AR6 website.
DOI: 10.5281/zenodo.14986404
title: CMIP6 input data usage information for IPCC WGI AR6 figure 3.43

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 3.43 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 3.43.
DOI: 10.15468/dl.2kdefr
title: Occurrence Download

description: A dataset containing 16102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erysimum cheiri (L.) Crantz)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 16102 records from 377 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007705-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14986401
title: CMIP6 input data usage information for IPCC WGI AR6 figure 3.42

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 3.42 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 3.42.
DOI: 10.15156/bio/sh1053086.10fu
title: SH1053086.10FU

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/sh1053087.10fu
title: SH1053087.10FU

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/sh1053089.10fu
title: SH1053089.10FU

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/sh1053090.10fu
title: SH1053090.10FU

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/sh1053092.10fu
title: SH1053092.10FU

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/sh1053093.10fu
title: SH1053093.10FU

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/sh1053095.10fu
title: SH1053095.10FU

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.