cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/rrg-wmg-8rr
title: Cortaderia sericantha (Steud.) Hitchc.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/wg9-vrq-37v
title: Cortaderia sericantha (Steud.) Hitchc.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.chsqm2
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Echinosorex gymnura (Raffles, 1822))",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 38 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112640-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/jnm-65k-y0d
title: Eriocaulon stellulatum Körn.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sr1-ats-y87
title: Cortaderia sericantha (Steud.) Hitchc.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/k48-8qf-7mz
title: Phyllanthus amarus Schumach. & Thonn.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ske-hkv-cqp
title: Baccharis emarginata (Ruiz & Pav.) Pers.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qtb-wdk-4qn
title: Baccharis latifolia (Ruiz & Pav.) Pers.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/y5y-yqp-3nr
title: Lophophytum pyramidale (Leandro) L. J. T. Cardoso & J. M. A. Braga

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ksw-771-djl
title: Gaiadendron G. Don

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/n90-ra5-v24
title: Bidens pilosa L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ry4-x2v-73n
title: Phyllanthus procerus C.Wright

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/p1b-cmc-j88
title: Sapindaceae Juss.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/p5s-gwt-qz1
title: Flaveria bidentis (L.) Kuntze

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/02q-g7s-ngf
title: Myosotidium Hook.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/knv-6y9-tqh
title: Pseudognaphalium elegans (Kunth) Kartesz

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9b4-76x-47n
title: Tanacetum parthenium (L.) Sch. Bip.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/rkm-dn9-hnh
title: Phyllanthus heliotropus C.Wright ex Griseb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/fag-e9c-fc6
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kvk-x1d-0s7
title: Achyrocline (Less.) DC.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/fea-2gl-y7k
title: Crotalaria L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.yddjjw
title: Occurrence Download

description: A dataset containing 255281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cenchrus biflorus Roxb., Cryptostegia grandiflora (Roxb.) R.Br., Cuscuta pentagona Engelm., Datura ferox L., Datura innoxia Mill., Datura quercifolia Kunth, Datura stramonium L., Erigeron bonariensis L., Gomphrena celosioides Mart., Guilleminea densa (Willd.) Moq.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 255281 records from 1763 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112616-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryd8vd
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colletoecema magna Sonké & Dessein"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297298-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sb6p6z
title: Occurrence Download

description: A dataset containing 19926 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pacifastacus leniusculus (Dana, 1852)"
 ]
}

 The dataset includes 19926 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009404-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44rxtp
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.25_1",
 "InstitutionCode is lacm",
 "OccurrenceStatus is Present",
 "TaxonKey is Enulius oligostichus Smith, Arndt & Sherbrook, 1967"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038161-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d7sceb
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Heliodoxa gularis (Gould, 1860))",
 "DecimalLatitude is greater than or equal to -20.85",
 "DecimalLatitude is less than or equal to 2.46666666666667",
 "DecimalLongitude is greater than or equal to -83.8333333333333",
 "DecimalLongitude is less than or equal to -66.15"
 ]
}

 The dataset includes 139 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324248-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hajtds
title: Occurrence Download

description: A dataset containing 981909 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation"
 ]
 },
 {
 "or" : [
 "Country is France",
 "Country is Portugal",
 "Country is Finland",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Country is Germany",
 "Country is Norway",
 "Country is Estonia",
 "Country is Spain",
 "Country is Denmark",
 "Country is Sweden"
 ]
 },
 "Year 1950-2018",
 "Geometry POLYGON ((27.421875 72.84098293190925, -20.390625 55.823996519869155, -16.875 27.758215831004865, 42.890625 26.50675543360344, 43.59375 69.68639679671098, 27.421875 72.84098293190925))",
 "HasCoordinate is true",
 "TaxonKey is Dendrocopos major (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 981909 records from 544 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006345-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0166936.10fu
title: SH0166936.10FU

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/sh0166937.10fu
title: SH0166937.10FU

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/sh0166938.10fu
title: SH0166938.10FU

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/sh0166939.10fu
title: SH0166939.10FU

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/sh0166940.10fu
title: SH0166940.10FU

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/sh0166941.10fu
title: SH0166941.10FU

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/sh0166942.10fu
title: SH0166942.10FU

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/sh0166943.10fu
title: SH0166943.10FU

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: 10.17632/rdjtjr7x5n
title: Impact of photovoltaic irrigation system

description: The dataset used in this study comprises primary household-level survey data collected from farming households in semi-arid agricultural systems of central India. Data were gathered from 223 farm households, including 108 adopters of photovoltaic irrigation systems (PVIS) and 115 non-adopters, across 17 villages in two administrative blocks. The survey captures detailed information for one complete agricultural year, ensuring consistency in recall and seasonal coverage.
The dataset contains socio-economic, agronomic, economic, and environmental variables pertinent to evaluating the effects of solar-powered irrigation. Socioeconomic variables cover household demographics (age, education), landholding size, income sources, and cropping patterns across seasons. Agronomic variables include number of irrigations, irrigation duration, cropping intensity, crop yields, and system productivity. Economic variables capture irrigation costs, cultivation costs, crop income, livestock income, and overall system profitability. Environmental indicators include fossil fuel consumption for irrigation, estimated CO₂ emissions, groundwater extraction volumes, and measures of field-level and economic water-use efficiency. In addition, the dataset records technology-specific information for PVIS adopters, such as pump capacity, investment cost, operational status, perceived reliability, and use patterns. These variables allow assessment of both direct technology impacts and behavioral responses associated with adoption.
DOI: 10.15156/bio/sh0166944.10fu
title: SH0166944.10FU

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: 10.17632/rdjtjr7x5n.1
title: Impact of photovoltaic irrigation system

description: The dataset used in this study comprises primary household-level survey data collected from farming households in semi-arid agricultural systems of central India. Data were gathered from 223 farm households, including 108 adopters of photovoltaic irrigation systems (PVIS) and 115 non-adopters, across 17 villages in two administrative blocks. The survey captures detailed information for one complete agricultural year, ensuring consistency in recall and seasonal coverage.
The dataset contains socio-economic, agronomic, economic, and environmental variables pertinent to evaluating the effects of solar-powered irrigation. Socioeconomic variables cover household demographics (age, education), landholding size, income sources, and cropping patterns across seasons. Agronomic variables include number of irrigations, irrigation duration, cropping intensity, crop yields, and system productivity. Economic variables capture irrigation costs, cultivation costs, crop income, livestock income, and overall system profitability. Environmental indicators include fossil fuel consumption for irrigation, estimated CO₂ emissions, groundwater extraction volumes, and measures of field-level and economic water-use efficiency. In addition, the dataset records technology-specific information for PVIS adopters, such as pump capacity, investment cost, operational status, perceived reliability, and use patterns. These variables allow assessment of both direct technology impacts and behavioral responses associated with adoption.
DOI: 10.5281/zenodo.18197434
title: Observed and forecasted pollutant concentrations in the center of Sao Paulo

description: This dataset corresponds to the observed and forecasted pollutant concentrations analyzed in an article submitted to Earth's Future, which is entitled: Air quality forecasts with observation-based scaling of anthropogenic emissions for urban agglomerations. 

The pollutants analyzed are carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), Ox (NO2+O3), sulfur dioxide (SO2) and particulate matter concentrations (PM2.5 and PM10).

Forecasted concentrations are presented for three regional simulations (F-REF, F-DAY and F-HOUR) and two flobal simulations (WACCM and CAMS) for the next day (day_p1 is d+1) 

The observed data are interpolated in the center of Sao Paulo, following the methodology presented in https://doi.org/10.1029/2022JD038179