cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1385672.10fu
title: SH1385672.10FU

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/sh1385673.10fu
title: SH1385673.10FU

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/sh1385678.10fu
title: SH1385678.10FU

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/sh1385680.10fu
title: SH1385680.10FU

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/sh1385683.10fu
title: SH1385683.10FU

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/sh1385686.10fu
title: SH1385686.10FU

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/sh1385687.10fu
title: SH1385687.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.h258bc
title: Occurrence Download

description: A dataset containing 3337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cervus nippon",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3337 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021863-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yyj4hb
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poecilia reticulata",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021864-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99gkws
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinochloa crus-galli",
 "Country is Kyrgyzstan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021867-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bt9f8x
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poecilia reticulata",
 "Country is Paraguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021865-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4xrnn
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aporosa wallichii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 74 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021866-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzjea4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Panicum italicum mitis, Panicum italicum moharicum, Panicum italicum moharicum, Panicum italicum moharium, Panicum italicum nigrum, Panicum italicum pabularis, Panicum italicum praecox, Panicum italicum rubrum, Panicum italicum violaceum, Panicum itieri)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021868-250711103210423/datasets/export for details.
DOI: 10.15468/dl.vvj3zb
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 (Zenaida macroura)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021871-250711103210423/datasets/export for details.
DOI: 10.5281/zenodo.15957830
title: COVID-19-Todesfälle in Deutschland

description: Im Datensatz 'COVID-19-Todesfälle in Deutschland' werden die Todesfälle in Bezug auf COVID-19 in Deutschland bereitgestellt. Darüber hinaus wird neben der Anzahl der übermittelten Todesfälle der Fall-Verstorbenen-Anteil berechnet.
Angaben zum Tod zählen zu den melde- und übermittlungspflichtigen Inhalten. Bei der Ermittlung von Todesfällen und der Bewertung der entsprechenden Informationen in den Gesundheitsämtern unterschiedlich vorgegangen. In der Folge könnte es einerseits zu einer Unterschätzung der Anzahl der Todesfälle, andererseits zu einer Überschätzung des Anteils der Verstorbenen einer Infektionskrankheit kommen. Ausführlich Hinweise zur Datenerhebung und Interpretation können der Datensatzdokumentation entnommen werden.
DOI: 10.15468/dl.j7scqg
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ADL3927"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021873-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15957827
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz '7-Tage-Inzidenz von COVID-19 in Deutschland' werden die aktuellen 7-Tage-Inzidenzen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - an das RKI übermittelten COVID-19-Fälle veröffentlicht. Datengrundlage zur Berechnung der 7-Tage-Inzidenzen sind die an das RKI übermittelten COVID-19-Fälle. Eine detaillierte Dokumentation zur Erhebung der Daten zum Infektionsgeschehen ist im Datensatz 'SARS-CoV-2-Infektionen in Deutschland' enthalten. Die für die Berechnung der 7-Tage-Inzidenz notwendigen Bevölkerungsdaten bezieht das RKI durch das Statistisches Bundesamt (Destatis), Referat F24 | Bevölkerungsfortschreibung, Ausländer- und Integrationsstatistiken.
DOI: 10.15468/dl.huhzk6
title: Occurrence Download

description: A dataset containing 5041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydropotes inermis",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5041 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021875-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/j6qy-nm30
title: "Scotts Anytime Bail Bonds "

description: "Scotts Anytime Bail Bonds in Pasco County, Florida, is your reliable partner in times of need, offering 24-hour bail bond services. We specialize in fast, efficient bail bond solutions, accepting all major credit and debit cards for your convenience. Most bonds can be issued over the phone, eliminating the need for an office visit. If a visit is necessary, our office is ready to assist. We provide bail bond services throughout the USA, including federal cases, and pride ourselves on our quick response, ensuring you get the help you need, wherever you are. Let us simplify the bail process for you."
DOI: 10.15468/dl.wganw9
title: Occurrence Download

description: A dataset containing 81297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Geometry POLYGON((102.46749 16.09019,126.25126 16.09019,126.25126 47.10217,102.46749 47.10217,102.46749 16.09019))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Egretta garzetta",
 "Year 2023-2025"
 ]
}

 The dataset includes 81297 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021840-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mg9jxe
title: Occurrence Download

description: A dataset containing 11941 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Moringa oleifera"
 ]
}

 The dataset includes 11941 records from 376 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021874-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qat57g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinochloa crus-galli",
 "Country is Marshall Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021878-250711103210423/datasets/export for details.
DOI: 10.15468/dl.ntqq6b
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinochloa crus-galli",
 "Country is Lao People’s Democratic Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021876-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j47hby
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poecilia reticulata",
 "Country is Philippines",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021877-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x95vdz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Panicum macrochaetum, Panicum macrochaetum, Panicum maritimum, Panicum melfrugum, Panicum miliaceum, Panicum moharicum, Panicum moharium, Panicum pallidifuscum, Panicum panis, Panicum pumilum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021879-250711103210423/datasets/export for details.
DOI: 10.15468/dl.xf8uqv
title: Occurrence Download

description: A dataset containing 1 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 (Zenaida macroura)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021880-250711103210423/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.29579525
title: MVSOPPIS 数据集

description: 预测蛋白质-蛋白质相互作用 （PPI） 位点对于促进我们对蛋白质相互作用的理解至关重要，因为准确的预测可以显著降低实验成本和时间。虽然在单个氨基酸残基水平上鉴定结合位点方面取得了相当大的进展，但过渡边界处残基子序列的预测准确性——例如由奇异结构（连续相互作用残基片段的突变特征）或边缘结构（相互作用/非相互作用残基片段之间的边界转换）等模式表示的序列——仍然需要改进。为了应对这一挑战，我们提出了一种名为 MVSO-PPIS 的新型 PPI 位点预测方法。该方法集成了两个互补的特征提取模块，一个基于子图的模块和一个增强的图注意力模块。提取的特征使用基于注意力的融合机制进行融合，产生一种复合表示，可以捕获局部蛋白质亚结构和全局上下文依赖关系。MVSO-PPIS 经过训练，可共同优化三个目标：PPI 位点的整体预测准确性、边缘结构一致性以及识别 PPI 位点序列中的独特结构模式。基准数据集的实验结果表明，MVSO-PPIS 在准确性和结构可解释性方面都优于现有的基线模型。
DOI: 10.6084/m9.figshare.29579525.v1
title: MVSOPPIS 数据集

description: 预测蛋白质-蛋白质相互作用 （PPI） 位点对于促进我们对蛋白质相互作用的理解至关重要，因为准确的预测可以显著降低实验成本和时间。虽然在单个氨基酸残基水平上鉴定结合位点方面取得了相当大的进展，但过渡边界处残基子序列的预测准确性——例如由奇异结构（连续相互作用残基片段的突变特征）或边缘结构（相互作用/非相互作用残基片段之间的边界转换）等模式表示的序列——仍然需要改进。为了应对这一挑战，我们提出了一种名为 MVSO-PPIS 的新型 PPI 位点预测方法。该方法集成了两个互补的特征提取模块，一个基于子图的模块和一个增强的图注意力模块。提取的特征使用基于注意力的融合机制进行融合，产生一种复合表示，可以捕获局部蛋白质亚结构和全局上下文依赖关系。MVSO-PPIS 经过训练，可共同优化三个目标：PPI 位点的整体预测准确性、边缘结构一致性以及识别 PPI 位点序列中的独特结构模式。基准数据集的实验结果表明，MVSO-PPIS 在准确性和结构可解释性方面都优于现有的基线模型。
DOI: 10.5281/zenodo.15918406
title: Test for 3D genome browser
DOI: 10.5281/zenodo.15918407
title: Test for 3D genome browser
DOI: 10.5281/zenodo.15957273
title: Dataset for: Longitudinal and nonlinear coupling for high-fidelity readout of a superconducting qubit
DOI: 10.5281/zenodo.15957274
title: Dataset for: Longitudinal and nonlinear coupling for high-fidelity readout of a superconducting qubit
DOI: 10.15468/dl.bn7vuc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mystus tengra"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021881-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69mc2y
title: Occurrence Download

description: A dataset containing 23488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dama dama",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23488 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021882-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6cbgsp
title: Occurrence Download

description: A dataset containing 6929 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mosla dianthera"
 ]
}

 The dataset includes 6929 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021883-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w8298w
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021886-250711103210423/datasets/export for details.