cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9m4gym
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.802322 -34.949656, 149.802322 -34.951902, 149.800076 -34.951902, 149.800076 -34.960885, 149.802322 -34.960885, 149.802322 -34.965377, 149.800076 -34.965377, 149.800076 -34.967622, 149.784355 -34.967622, 149.784355 -34.97436, 149.788847 -34.97436, 149.788847 -34.976606, 149.793338 -34.976606, 149.793338 -34.978851, 149.79783 -34.978851, 149.79783 -34.985589, 149.802322 -34.985589, 149.802322 -34.992326, 149.815796 -34.992326, 149.815796 -34.99008, 149.811305 -34.99008, 149.811305 -34.987835, 149.809059 -34.987835, 149.809059 -34.983343, 149.800076 -34.983343, 149.800076 -34.97436, 149.802322 -34.97436, 149.802322 -34.972114, 149.806813 -34.972114, 149.806813 -34.97436, 149.809059 -34.97436, 149.809059 -34.981097, 149.815796 -34.981097, 149.815796 -34.976606, 149.818042 -34.976606, 149.818042 -34.97436, 149.815796 -34.97436, 149.815796 -34.967622, 149.811305 -34.967622, 149.811305 -34.965377, 149.809059 -34.965377, 149.809059 -34.954148, 149.815796 -34.954148, 149.815796 -34.949656, 149.802322 -34.949656)), ((149.815796 -34.992326, 149.815796 -34.996818, 149.82478 -34.996818, 149.82478 -35.012538, 149.827025 -35.012538, 149.827025 -35.010293, 149.831517 -35.010293, 149.831517 -35.003555, 149.827025 -35.003555, 149.827025 -34.999064, 149.8405 -34.999064, 149.8405 -35.003555, 149.844992 -35.003555, 149.844992 -34.999064, 149.847238 -34.999064, 149.847238 -34.996818, 149.849483 -34.996818, 149.849483 -34.99008, 149.847238 -34.99008, 149.847238 -34.987835, 149.838254 -34.987835, 149.838254 -34.99008, 149.831517 -34.99008, 149.831517 -34.992326, 149.815796 -34.992326)))"
 ]
}

 The dataset includes 39 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073919-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9ukgq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Croton pyrifolius Müll.Arg.",
 "Continent is Africa"
 ]
}

 The dataset includes 8 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073920-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10403422
title: MANET: uncertainty in demographics – data on population projections

description: This is a repository of global and regional human population data collected from: the databases of scenarios assessed by the Intergovernmental Panel on Climate Change (Sixth Assessment Report, Special Report on 1.5 C; Fifth Assessment Report), multi-national databases of population projections (World Bank, International Database, United Nation population projections), and other very long-term population projections (Resources for the Future).

More specifically, it contains:

- in `other_pop_data` folder files from World Bank, the International Database from the US Census, and from IHME

- in the `SSP` folder, the Shared Socioeconomic Pathways, downloaded from IIASA

- in the `UN` folder, the demographic projections from UN

- `IAMstat.xlsx`, an overview file of the metadata accompanying the scenarios present in the IPCC databases

- `RFF.csv`, an overview file containing the population projections obtained by Resources For the Future 

'- the remaining `.csv` files with names `AR6#`, `AR5#`, `IAMC15#` contain the IPCC scenarios assessed by the IPCC for preparing the IPCC assessment reports. They can be downloaded from AR5,  SR 1.5, and AR6

This data should be used downloaded for use together with the package downloadable here.
DOI: 10.5281/zenodo.13335264
title: MANET: uncertainty in demographics – data on population projections

description: This is a repository of global and regional human population data collected from: the databases of scenarios assessed by the Intergovernmental Panel on Climate Change (Sixth Assessment Report, Special Report on 1.5 C; Fifth Assessment Report), multi-national databases of population projections (World Bank, International Database, United Nation population projections), and other very long-term population projections (Resources for the Future).

More specifically, it contains:

- in `other_pop_data` folder files from World Bank, the International Database from the US Census, and from IHME

- in the `SSP` folder, the Shared Socioeconomic Pathways, as in the version 2.0 downloaded from IIASA and as in the version 3.0 downloaded from IIASA workspace

- in the `UN` folder, the demographic projections from UN

- `IAMstat.xlsx`, an overview file of the metadata accompanying the scenarios present in the IPCC databases

- `RFF.csv`, an overview file containing the population projections obtained by Resources For the Future 

'- the remaining `.csv` files with names `AR6#`, `AR5#`, `IAMC15#` contain the IPCC scenarios assessed by the IPCC for preparing the IPCC assessment reports. They can be downloaded from AR5,  SR 1.5, and AR6

This data in intended to be downloaded for use together with the package downloadable here.

The dataset was used as a supporting material for the paper "Underestimating demographic uncertainties in the synthesis process of the IPCC" accepted on npj Climate Action (DOI : 10.1038/s44168-024-00152-y).
DOI: 10.5281/zenodo.8312058
title: MANET: uncertainty in demographics – data on population projections

description: This is a repository of global and regional human population data collected from: the databases of scenarios assessed by the Intergovernmental Panel on Climate Change (Sixth Assessment Report, Special Report on 1.5 C; Fifth Assessment Report), multi-national databases of population projections (World Bank, International Database, United Nation population projections), and other very long-term population projections (Resources for the Future).

More specifically, it contains:

- in `other_pop_data` folder files from World Bank, the International Database from the US Census, and from IHME

- in the `SSP` folder, the Shared Socioeconomic Pathways, as in the version 2.0 downloaded from IIASA and as in the version 3.0 downloaded from IIASA workspace

- in the `UN` folder, the demographic projections from UN

- `IAMstat.xlsx`, an overview file of the metadata accompanying the scenarios present in the IPCC databases

- `RFF.csv`, an overview file containing the population projections obtained by Resources For the Future 

'- the remaining `.csv` files with names `AR6#`, `AR5#`, `IAMC15#` contain the IPCC scenarios assessed by the IPCC for preparing the IPCC assessment reports. They can be downloaded from AR5,  SR 1.5, and AR6

This data in intended to be downloaded for use together with the package downloadable here.

The dataset was used as a supporting material for the paper "Underestimating demographic uncertainties in the synthesis process of the IPCC" accepted on npj Climate Action (DOI : 10.1038/s44168-024-00152-y).
DOI: 10.5281/zenodo.8312059
title: MANET: uncertainty in demographics – data on population projections

description: This is a repository of global and regional human population data collected from: the databases of scenarios assessed by the Intergovernmental Panel on Climate Change (Sixth Assessment Report, Special Report on 1.5 C; Fifth Assessment Report), multi-national databases of population projections (World Bank, International Database, United Nation population projections), and other very long-term population projections (Resources for the Future). More specifically, it contains: - in `other_pop_data` folder files from World Bank and the International Database from the US Census - in the `SSP` folder, the Shared Socioeconomic Pathways, downloaded from IIASA - in the `UN` folder, the demographic projections from UN - `IAMstat.xlsx`, an overview file of the metadata accompanying the scenarios present in the IPCC databases - `RFF.csv`, an overview file containing the population projections obtained by Resources For the Future '- the remaining `.csv` files with names `AR6#`, `AR5#`, `IAMC15#` contain the IPCC scenarios assessed by the IPCC for preparing the IPCC assessment reports. They can be downloaded from AR5, SR 1.5, and AR6 This data should be used downloaded for use together with the package downloadable here.
DOI: 10.5281/zenodo.13134127
title: Raw data for the article "Enamine Synthesis via Regiocontrolled 6-endo-dig and 5-exo-dig Tethered Carboamination of Propargylic Alcohols"

description: Raw NMR, IR and MS  data  for the article "Enamine Synthesis via Regiocontrolled 6-endo-dig and 5-exo-dig Tethered Carboamination of Propargylic Alcohols" published in  Angewandte Chemie, DOI: 

https://doi.org/10.1002/anie.202411383 

The number of the folders either correspond to compounds numbers in the article or the name of the folder is self-describing. All details concerning conditions and equipment for measurements can be found in the supporting information of the article. For convenience, the word file version of the supporting information can be found on the top of the raw data folder.
DOI: 10.5281/zenodo.13134128
title: Raw data for the article "Enamine Synthesis via Regiocontrolled 6-endo-dig and 5-exo-dig Tethered Carboamination of Propargylic Alcohols"

description: Raw NMR, IR and MS  data  for the article "Enamine Synthesis via Regiocontrolled 6-endo-dig and 5-exo-dig Tethered Carboamination of Propargylic Alcohols" published in  Angewandte Chemie, DOI: 

https://doi.org/10.1002/anie.202411383 

The number of the folders either correspond to compounds numbers in the article or the name of the folder is self-describing. All details concerning conditions and equipment for measurements can be found in the supporting information of the article. For convenience, the word file version of the supporting information can be found on the top of the raw data folder.
DOI: 10.15468/dl.2pxceb
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.189218 -34.981097, 149.189218 -34.983343, 149.186973 -34.983343, 149.186973 -35.003555, 149.19371 -35.003555, 149.19371 -34.999064, 149.195956 -34.999064, 149.195956 -34.992326, 149.198202 -34.992326, 149.198202 -34.987835, 149.19371 -34.987835, 149.19371 -34.981097, 149.189218 -34.981097))"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073921-240626123714530/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.26780614
title: Dataset for Fig. 2

description: Band structure and wave function data from ab initio calculations.
DOI: 10.6084/m9.figshare.26780614.v1
title: Dataset for Fig. 2

description: Band structure and wave function data from ab initio calculations.
DOI: 10.15468/dl.m3keeb
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "OccurrenceStatus is Present",
 "TaxonKey is Albizia adianthifolia (Schumach.) W.Wight"
 ]
}

 The dataset includes 284 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073922-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5525/gla.researchdata.1651
title: Above-ground nest locations support key life stages and group behaviours in Eurasian badger territories.
DOI: 10.15468/dl.wcgd4g
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron lanigerum Tagg"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073923-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pdmuv
title: Occurrence Download

description: A dataset containing 818 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Croton sylvaticus Hochst.",
 "Continent is Africa"
 ]
}

 The dataset includes 818 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073924-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13341807
title: philothamnus_battersbyi_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.13341808
title: philothamnus_battersbyi_spades_01.fasta.gz

description: .
DOI: 10.15468/dl.ch4gty
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence, Machine Observation, Material sample)",
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (February, March, April, May, June, July, August, September, October, November, December)",
 "TaxonKey is Pelagia noctiluca (Forsskål, 1775)",
 "Year 2010-2023"
 ]
}

 The dataset's 1 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073901-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xf5vbs
title: Occurrence Download

description: A dataset containing 270 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Croatia",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambrosia artemisiifolia L."
 ]
}

 The dataset includes 270 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073925-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqmf22
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.732702 -35.001309, 149.732702 -35.003555, 149.734948 -35.003555, 149.734948 -35.001309, 149.732702 -35.001309)), ((149.734948 -35.003555, 149.734948 -35.005801, 149.739439 -35.005801, 149.739439 -35.003555, 149.734948 -35.003555)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073926-240626123714530/datasets/export for details.
DOI: 10.15468/dl.3erbtd
title: Occurrence Download

description: A dataset containing 135937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron annuus (L.) Pers.",
 "Year 2019-2024"
 ]
}

 The dataset includes 135937 records from 577 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073909-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2v9ya
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Cryptosepalum exfoliatum De Wild.",
 "Continent is Africa"
 ]
}

 The dataset includes 49 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073927-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.duu9g7
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "OccurrenceStatus is Present",
 "TaxonKey is Synsepalum brevipes (Baker) T.D.Penn."
 ]
}

 The dataset includes 40 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073928-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57966/fzbs-3930
title: Statistical Performance Indicators
DOI: 10.15468/dl.geh2r6
title: Occurrence Download

description: A dataset containing 270 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Croatia",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambrosia artemisiifolia L."
 ]
}

 The dataset includes 270 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073929-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v6pxn2
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Cryptosepalum exfoliatum De Wild.",
 "Continent is Africa"
 ]
}

 The dataset includes 49 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073930-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v25tah
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.788847 -35.003555, 149.788847 -35.005801, 149.793338 -35.005801, 149.793338 -35.003555, 149.788847 -35.003555))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073931-240626123714530/datasets/export for details.
DOI: 10.15468/dl.nv26f5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "TaxonKey is Syzygium owariense (P.Beauv.) Benth."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073932-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bp7cns
title: Occurrence Download

description: A dataset containing 854248 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mozambique"
 ]
}

 The dataset includes 854248 records from 888 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073916-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0207182.10fu
title: SH0207182.10FU

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/sh0207183.10fu
title: SH0207183.10FU

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/sh0207184.10fu
title: SH0207184.10FU

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.