cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zpd7sb
title: Occurrence Download

description: A dataset containing 7 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 one of (Cistus populifolius major)"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019330-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wuvzf2
title: Occurrence Download

description: A dataset containing 36989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greenland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year 1940-2025"
 ]
}

 The dataset includes 36989 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019325-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cas48n
title: Occurrence Download

description: A dataset containing 2033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Copera marginipes",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2033 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019327-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.enuadq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coreopsis tinctoria",
 "Country is Bosnia and Herzegovina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019328-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.15173537
title: Sentiment Analysis of News: Unveiling AI's Role in Sustainability and No Poverty (SDG1)

description: Sentiment News data for AI and poverty.
DOI: 10.5281/zenodo.15173538
title: Sentiment Analysis of News: Unveiling AI's Role in Sustainability and No Poverty (SDG1)

description: Sentiment News data for AI and poverty.
DOI: 10.34810/data1528
title: Surveys dataset of Local Indicators of Climate Change Impacts in Turkana, Kenya

description: Quantitative dataset of the Site 'Turkana' collected by Alvaro Fernandez-Llamazares in Kenya. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 2st - quantitative part of a 2 part dataset. Quantitative data collection includes household-level surveys with up to 125 randomly selected households and individual-level surveys of up to 175 individuals chosen by convenience sampling. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.15468/dl.f54v3w
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019331-250920141307145/datasets/export for details.
DOI: 10.34810/data1529
title: Qualitative dataset of Local Indicators of Climate Change Impacts in Juruá River, Brazil

description: Qualitative dataset of the Site 'Juruá River' collected by André B. Junqueira in Brazil. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.34810/data2603
title: Lutra lutra 340

description: Skeleton of Lutra lutra 340.
description: IPA, 1.1.0
DOI: 10.60893/figshare.jcp.30076540
title: Supplement Number 1

description: Supplemental Figures and Tables
DOI: 10.60893/figshare.jcp.30076540.v1
title: Supplement Number 1

description: Supplemental Figures and Tables
DOI: 10.60893/figshare.jcp.30076543
title: Supplement Number 2

description: Compressed CIF file of the structure of product 2b
DOI: 10.60893/figshare.jcp.30076543.v1
title: Supplement Number 2

description: Compressed CIF file of the structure of product 2b
DOI: 10.60893/figshare.jcp.30076546
title: Supplement Number 3

description: Checkcif file
DOI: 10.60893/figshare.jcp.30076546.v1
title: Supplement Number 3

description: Checkcif file
DOI: 10.60893/figshare.jcp.30076549
title: Supplement Number 4

description: Compressed file with the xyz coordinates of the optimized structures
DOI: 10.60893/figshare.jcp.30076549.v1
title: Supplement Number 4

description: Compressed file with the xyz coordinates of the optimized structures
DOI: 10.34810/data1530
title: Surveys dataset of Local Indicators of Climate Change Impacts in Juruá River, Brazil

description: Quantitative dataset of the Site 'Juruá River' collected by André B. Junqueira in Brazil. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 2st - quantitative part of a 2 part dataset. Quantitative data collection includes household-level surveys with up to 125 randomly selected households and individual-level surveys of up to 175 individuals chosen by convenience sampling. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.15468/dl.ww9z35
title: Occurrence Download

description: A dataset containing 246 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 one of (Cistus purpureus)"
 ]
}

 The dataset includes 246 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019333-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7g7uu
title: Occurrence Download

description: A dataset containing 2267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coreopsis tinctoria",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2267 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019334-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.559htc
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coreopsis tinctoria",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 73 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019336-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3udsm3
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prodasineura croconota",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 247 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019335-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data1531
title: Qualitative dataset of Local Indicators of Climate Change Impacts in Puna, Argentina

description: Qualitative dataset of the Site 'Puna' collected by Andrea Izquierdo in Argentina. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.60893/figshare.jva.30076432
title: Supplementary material

description: Supplementary materials
DOI: 10.60893/figshare.jva.30076432.v1
title: Supplementary material

description: Supplementary materials
DOI: 10.5281/zenodo.17208369
title: Long-term trends of adult survival and productivity in European songbirds: role of migration strategy and spatio-climatic gradient
DOI: 10.5281/zenodo.17208368
title: Long-term trends of adult survival and productivity in European songbirds: role of migration strategy and spatio-climatic gradient
DOI: 10.15468/dl.7kc98c
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coreopsis tinctoria",
 "Country is Romania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019338-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2veawq
title: Occurrence Download

description: A dataset containing 7933 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adenomera andreae"
 ]
}

 The dataset includes 7933 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019340-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data1532
title: Surveys dataset of Local Indicators of Climate Change Impacts in Puna, Argentina

description: Quantitative dataset of the Site 'Puna' collected by Andrea Izquierdo in Argentina. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 2st - quantitative part of a 2 part dataset. Quantitative data collection includes household-level surveys with up to 125 randomly selected households and individual-level surveys of up to 175 individuals chosen by convenience sampling. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.15468/dl.wsx7vs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is b5c0485e-0204-49ab-a7a4-21ed6e333868"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019341-250920141307145/datasets/export for details.
DOI: 10.15468/dl.zfr6jw
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 one of (Cistus sintenisii)"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019339-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cy6w9t
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coreopsis tinctoria",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 62 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019343-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4g4cd
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abraximorpha davidii",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 176 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019342-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data1533
title: Qualitative dataset of Local Indicators of Climate Change Impacts in Eastern Tyrol, Austria

description: Qualitative dataset of the Site 'Eastern Tyrol' collected by Anna Fuchs in Austria. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.15468/dl.ue3eum
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019344-250920141307145/datasets/export for details.
DOI: 10.34810/data1537
title: Experimental data of the characterization and optimization of the multi-enzymatic reaction of synthesis of acetoin from etanol.

description: Dataset of the characterization of the optimum pH of reaction, optimum cofactor concentration, optimum initial enzymatic activities and ratios and the use of a sparging gas for the multi-enzymatic synthesis of acetoin from ethanol in a one-pot reactor.
description: METHODOLOGICAL INFORMATION

1. Description of the methods used to collect and generate the data:
-Single enzymatic reaction (ZpPDC) and preliminary characterizations (ZpPDC/ScADH and ZpPDC/ScADH/SpNOX) were carried out in 50 mL using tris base buffer at different pH conditions, acetaldehyde or etanol 50 mM, at 25ºC and 500 rpm.
-Multi-enzymatic system reaction was carried out in 5 mL using tris base buffer pH 7.5 and bioetanol 50 mM, with pH control, at 25ºC, 1000 rpm and 1 vvm of air.
-Activities were obtained applying activity tests based on spectrophotometrical methods.
-GC for the analysis of ethanol, acetaldehyde and acetoin concentration.
-Protein purification was carried out in a FPLC AKTA Pure System.

2. Data processing methods:
All data were processed using Excel

3. Software or instruments needed to interpret the data:
Excel

4. Information about instruments, calibration and standards:
- Varian Cary 50 Bio UV-visible spectrophotometer (Agilent®).
- FPLC
- GC

5. Environmental or experimental conditions:
Atmospheric pressure and 25ºC.
description: MS Excel, null
DOI: 10.15468/dl.x439v6
title: Occurrence Download

description: A dataset listing the 1514 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Greenland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year 1940-2025"
 ]
}

 The dataset's 1514 records were derived from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019326-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0181677.10fu
title: SH0181677.10FU

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/sh0181678.10fu
title: SH0181678.10FU

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/sh0181679.10fu
title: SH0181679.10FU

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/sh0181680.10fu
title: SH0181680.10FU

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/sh0181681.10fu
title: SH0181681.10FU

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.