cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yh9qhk
title: Occurrence Download

description: A dataset containing 587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lemna minor",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 587 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026953-250717081556266/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.cc2k1t8q
title: CCDC 2355233: Experimental Crystal Structure Determination

description: Related Article: D. Dulasimathi, M. Prabhaharan, N. Venkatachalam, V. Viswanathan, Jamelah S. Al-Otaibi, Abdullah N. Alodhayb|2025|J.Mol.Struct.|1346|143200|doi:10.1016/j.molstruc.2025.143200
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.9suy94
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arundo donax",
 "Country is Zambia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026954-250717081556266/datasets/export for details.
DOI: 10.5281/zenodo.14697508
title: Files associated with "Norway's electric vehicle revolution: Unveiling greenhouse gas emissions reductions and material use of passenger cars across space and time"

description: This repository contains input data and results used in "Norway's electric vehicle revolution: Unveiling greenhouse gas emissions reductions and material use of passenger cars across space and time" by Lola S. A. Rousseau, Jan Sandstad Næss, Marine Lhuillier, Romain G. Billy, Peter Schön, and Edgar G. Hertwich.

The publication and its supplementary information are available at: https://doi.org/10.1088/1748-9326/ade8fe

The following is included in this repository:



Data behind the figures of the article (source data) (data_behind_figures.zip)

The code used to extract data from microdata.no (code_microdata.txt)

The three datasets generated using extracted data from microdata.no and some manual adjustments (generated_microdata_datasets.zip):



(dataset 1) number and average curb weight of vehicles grouped by municipality and powertrain; 

(dataset 2) number and average curb weight of vehicles grouped by size (for material composition in Section 2.2 in the article), powertrain and first registration year; 

(dataset 3) number of vehicles grouped by size (for life cycle GHG emissions calculations in Section 2.3 in the article), powertrain, first registration year and size of municipality




The following data sources were processed and used to generate the figures (more details about the processing are provided in the SI of the article):



Figure_1, Figure_3: microdata.no (dataset 2, dataset 3), archetypes from CIRCOMOD, carculator 

Figure_2: microdata.no (dataset 2, dataset 3), carculator

Figure_4: left column (a, c, e) - microdata.no (dataset 1), carculator; right column (b, d, f) - Geodata Online, carculator

Figure 5: Geodata Online, carculator

Figure 6: Geodata Online, carculator, SSB


If there are questions about the data or the article, please contact Lola S. A. Rousseau (lola.s.a.rousseau(a)ntnu.no).
DOI: 10.5281/zenodo.14697509
title: Files associated with "Norway's electric vehicle revolution: Unveiling greenhouse gas emissions reductions and material use of passenger cars across space and time"

description: This repository contains input data and results used in "Norway's electric vehicle revolution: Unveiling greenhouse gas emissions reductions and material use of passenger cars across space and time" by Lola S. A. Rousseau, Jan Sandstad Næss, Marine Lhuillier, Romain G. Billy, Peter Schön, and Edgar G. Hertwich.

The publication and its supplementary information are available at: https://doi.org/10.1088/1748-9326/ade8fe

The following is included in this repository:



Data behind the figures of the article (source data) (data_behind_figures.zip)

The code used to extract data from microdata.no (code_microdata.txt)

The three datasets generated using extracted data from microdata.no and some manual adjustments (generated_microdata_datasets.zip):



(dataset 1) number and average curb weight of vehicles grouped by municipality and powertrain; 

(dataset 2) number and average curb weight of vehicles grouped by size (for material composition in Section 2.2 in the article), powertrain and first registration year; 

(dataset 3) number of vehicles grouped by size (for life cycle GHG emissions calculations in Section 2.3 in the article), powertrain, first registration year and size of municipality




The following data sources were processed and used to generate the figures (more details about the processing are provided in the SI of the article):



Figure_1, Figure_3: microdata.no (dataset 2, dataset 3), archetypes from CIRCOMOD, carculator 

Figure_2: microdata.no (dataset 2, dataset 3), carculator

Figure_4: left column (a, c, e) - microdata.no (dataset 1), carculator; right column (b, d, f) - Geodata Online, carculator

Figure 5: Geodata Online, carculator

Figure 6: Geodata Online, carculator, SSB


If there are questions about the data or the article, please contact Lola S. A. Rousseau (lola.s.a.rousseau(a)ntnu.no).
DOI: 10.5524/100356
title: Supporting data for the near-complete assembly of the hexaploid bread wheat genome, Triticum aestivum

description: Common bread wheat, Triticum aestivum, has one of the most complex genomes known to science, with 6 copies of each chromosome, enormous numbers of near-identical sequences scattered throughout, and an overall haploid size of more than 15 billion bases. Multiple past attempts to assemble the genome have produced assemblies that were well short of the estimated genome size. Here we report the first near-complete assembly of T. aestivum, using deep sequencing coverage from a combination of short Illumina reads and very long Pacific Biosciences reads. The final assembly contains 15,344,693,583 bases and has a weighted average (N50) contig size of 232,659 bases. This represents by far the most complete and contiguous assembly of the wheat genome to date, providing a strong foundation for future genetic studies of this important food crop. We also report how we used the recently published genome of Aegilops tauschii, the diploid ancestor of the wheat D genome, to identify 4,179,762,575 bp of T. aestivum that correspond to its D genome components.
DOI: 10.15468/dl.vyfxx4
title: Occurrence Download

description: A dataset containing 1686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypericum androsaemum",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1686 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026956-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ded6h
title: Occurrence Download

description: A dataset containing 414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypericum androsaemum",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 414 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026957-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fvfc3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arundo donax",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026955-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdmfcs
title: Occurrence Download

description: A dataset containing 1189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis curvula",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1189 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026960-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.avwv3w
title: Occurrence Download

description: A dataset containing 481 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carthamus dentatus"
 ]
}

 The dataset includes 481 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026958-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nauv8
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepomis gibbosus",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 424 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026961-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0165700.10fu
title: SH0165700.10FU

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/sh0165701.10fu
title: SH0165701.10FU

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/sh0165702.10fu
title: SH0165702.10FU

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/sh0165703.10fu
title: SH0165703.10FU

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/sh0165704.10fu
title: SH0165704.10FU

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/sh0165705.10fu
title: SH0165705.10FU

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/sh0165706.10fu
title: SH0165706.10FU

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/sh0165707.10fu
title: SH0165707.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.jcsybp
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((75.577102 20.449387, 75.50214699999999 20.443811, 75.429053 20.427221, 75.359634 20.400028, 75.29561099999999 20.362909, 75.238568 20.316782, 75.189911 20.262792, 75.150836 20.202276, 75.122297 20.136728, 75.104985 20.06777, 75.09931400000001 19.997101, 75.105406 19.926463, 75.123097 19.857594, 75.151938 19.792187, 75.19120700000001 19.731847, 75.239931 19.678052, 75.296907 19.632121, 75.360736 19.595178, 75.42985400000001 19.568125, 75.502568 19.551625, 75.577102 19.54608, 75.651636 19.551625, 75.72435 19.568125, 75.793468 19.595178, 75.857297 19.632121, 75.91427299999999 19.678052, 75.962997 19.731847, 76.00226600000001 19.792187, 76.03110700000001 19.857594, 76.04879800000001 19.926463, 76.05489 19.997101, 76.04921899999999 20.06777, 76.031907 20.136728, 76.00336799999999 20.202276, 75.964293 20.262792, 75.91563600000001 20.316782, 75.858593 20.362909, 75.79456999999999 20.400028, 75.725151 20.427221, 75.652057 20.443811, 75.577102 20.449387))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001225-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0165708.10fu
title: SH0165708.10FU

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/sh0165709.10fu
title: SH0165709.10FU

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.