cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29526233
title: original data

description: Our research demonstrated the existence of a non-additive mixing effect in litter decomposition at different organizational levels, and distinguished the responses of carbon fractions and nutrients to the synergistic effects. Our findings would have great implications for deeply understanding litter decomposition and biogeochemical cycling in terrestrial ecosystems.
DOI: 10.6084/m9.figshare.29526233.v1
title: original data

description: Our research demonstrated the existence of a non-additive mixing effect in litter decomposition at different organizational levels, and distinguished the responses of carbon fractions and nutrients to the synergistic effects. Our findings would have great implications for deeply understanding litter decomposition and biogeochemical cycling in terrestrial ecosystems.
DOI: 10.3535/9mf-ck4-36v
title: Trifolium angustifolium L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/wah-h9a-bz9
title: Centaurea diffusa Lam.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/e2w-bv6-n32
title: Crepis foetida subsp. rhoeadifolia (M. Bieb.) Celak.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mwc-h1t-4na
title: Centaurea diffusa Lam.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/g8a-s29-mh3
title: Melampyrum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qe0-rvz-zwf
title: Trifolium angustifolium L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/n2y-p4f-5xq
title: Hippocrepis emerus subsp. emeroides (Boiss. & Spruner) Greuter & Burdet ex Lassen

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/15y-48e-86p
title: Helianthemum canum subsp. canum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/yh8-8vw-ah7
title: Tanacetum parthenium (L.) Sch. Bip.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ewf-sqr-50s
title: Crepis foetida subsp. rhoeadifolia (M. Bieb.) Celak.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/p4f-jw8-087
title: Tragopogon pratensis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5t2-k5z-pwm
title: Trifolium purpureum Loisel.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/v24-ftf-bhq
title: Convolvulus arvensis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qtv-50x-bls
title: Bituminaria bituminosa (L.) C.H.Stirt.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5281/zenodo.16364123
title: Malwa survey : GIS data SRTM [part 5 inde_route]

description: Malwa survey : GIS data SRTM [part 5 inde_route]
DOI: 10.5281/zenodo.16364122
title: Malwa survey : GIS data SRTM [part 5 inde_route]

description: Malwa survey : GIS data SRTM [part 5 inde_route]
DOI: 10.21220/v5h44x
title: GIS Data: City of Suffolk, Virginia Tidal Marsh Inventory
DOI: 10.5281/zenodo.16363982
title: SARS-CoV-2 Sequenzdaten aus Deutschland

description: Ein zentraler Bestandteil einer erfolgreichen Erregersurveillance ist das Verständnis der Verbreitung eines Erregers sowie seiner pathogenen Eigenschaften. Hierbei stellt das Wissen über das Erregergenom eine wichtige Informationsquelle dar. So erlaubt der Nachweis von Mutationen im Genom eines Erregers, Verwandtschaftsbeziehungen zu rekonstruieren, Übertragungswege aufzudecken und Resistenzen vorherzusagen. Die Integrierte Genomische Surveillance (IGS) von SARS-CoV-2 zielt darauf ab, die Verbreitung des Virus und insbesondere von besorgniserregenden Virusvarianten in der Bevölkerung zu überwachen sowie auftretende Veränderungen des Virus genau zu beobachten. Besondere Bedeutung kommt dabei der öffentlichen Bereitstellung der genomischen Daten zu, um Wissenschaftlern in Deutschland und weltweit die Möglichkeit zu eigenständigen Analysen zu eröffnen.  Im Rahmen der Coronavirus-Surveillanceverordnung wurden bis zum 31.05.2023 SARS-CoV-2 Sequenzdaten aus ganz Deutschland über den Deutschen Elektronischen Sequenzdaten-Hub (DESH) an das RKI übermittelt. Mit Ablauf der Verordnung werden künftig Proben durch das IMSSC2 Labornetzwerk bereitgestellt und am RKI sequenziert, analysiert und hier bereitgestellt. Trotz reduzierter  Probenanzahl, wird durch die sorgfältige Auswahl der beteiligten Labore ein repräsentativer Einblick in die Viruspopluation gesichert (Djin Ye Oh  et al. 2022). Zusätzlich werden Sequenzen vom NRZ Coronaviren an der Charité beigetragen um das IMSSC2 Netzwerk zu ergänzen.
DOI: 10.15468/dl.bfxyce
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((47.48604198940029 -1.9751764885113978, 47.486895113404664 -1.9735378255402467, 47.487414134625766 -1.9717631543634417, 47.48757908525833 -1.9699206599380494, 47.48738360045994 -1.968081143453393, 47.486835166888085 -1.9663153022188702, 47.48595483890754 -1.9646910119360403, 47.48477643277693 -1.9632707159278653, 47.48334522928033 -1.9621090220120525, 47.48171623432938 -1.9612505998971705, 47.47995206427069 -1.9607284605208841, 47.47812053729324 -1.9605626840684038, 47.47629206384448 -1.9607596460689873, 47.474536936852694 -1.9613117716519135, 47.47292262649228 -1.9621978275174548, 47.47151118404902 -1.963383740269629, 47.47035685515533 -1.9648239093051931, 47.46950399444773 -1.9664629632760278, 47.46898536189327 -1.9682378920079568, 47.4688208661262 -1.9700804713335325, 47.46901680273986 -1.9719198871381562, 47.46956561629191 -1.9736854574400284, 47.4704461945691 -1.9753093477846257, 47.47162468320735 -1.9767291757359888, 47.473055788861586 -1.977890404733801, 47.474684520515765 -1.978748435848995, 47.47644830190782 -1.9792703176701232, 47.478279374019735 -1.979436009222435, 47.480107395653235 -1.9792391479018714, 47.48186214266481 -1.9786872932515909, 47.483476202728596 -1.9778016373243137, 47.48488756266422 -1.976616192628966, 47.48604198940029 -1.9751764885113978))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033709-250717081556266/datasets/export for details.
DOI: 10.15468/dl.ce3q9f
title: Occurrence Download

description: A dataset containing 60012 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Koeleria vallesiana"
 ]
}

 The dataset includes 60012 records from 593 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033656-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzgxfd
title: Occurrence Download

description: A dataset containing 0 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 (Aegithalos caudatus)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033711-250717081556266/datasets/export for details.
DOI: 10.15468/dl.wfsxhz
title: Occurrence Download

description: A dataset containing 0 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 (Aegithalos caudatus)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033712-250717081556266/datasets/export for details.
DOI: 10.15468/dl.pdq9tg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Ceratitis capitata",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033698-250717081556266/datasets/export for details.
DOI: 10.15468/dl.5ehmsf
title: Occurrence Download

description: A dataset containing 1823 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registro de varamientos de megafauna marina en Ecuador continental"
 ]
}

 The dataset includes 1823 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033713-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21220/v5mt7w
title: GIS Data: York County, Virginia Tidal Marsh Inventory
DOI: 10.15468/dl.5wttgz
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum schumannianum",
 "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 127 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033714-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21220/v5rm8f
title: GIS Data: City of Alexandria Tidal Marsh Inventory
DOI: 10.15468/dl.43qqxr
title: Occurrence Download

description: A dataset containing 66464 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Koeleria macrantha"
 ]
}

 The dataset includes 66464 records from 787 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033657-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxxnfn
title: Occurrence Download

description: A dataset containing 260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ammonia tepida",
 "Year 2000-2025"
 ]
}

 The dataset includes 260 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033717-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24403/jp.1483195
title: Städtische Freiheit versus landesherrliche Superiorität : die Reduktion von Erfurt 1664 / Bettina Braun
DOI: 10.15468/dl.xsax7g
title: Occurrence Download

description: A dataset containing 433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterois volitans",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 433 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033715-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nnxtk2
title: Occurrence Download

description: A dataset containing 15100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lonicera sempervirens"
 ]
}

 The dataset includes 15100 records from 270 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033716-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0171103.10fu
title: SH0171103.10FU

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/sh0171104.10fu
title: SH0171104.10FU

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/sh0171105.10fu
title: SH0171105.10FU

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/sh0171106.10fu
title: SH0171106.10FU

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/sh0171107.10fu
title: SH0171107.10FU

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/sh0171108.10fu
title: SH0171108.10FU

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/sh0171109.10fu
title: SH0171109.10FU

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/sh0171110.10fu
title: SH0171110.10FU

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.