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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mullus bensasi Temminck & Schlegel, 1843",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017500-241126133413365/datasets/export for details.
DOI: 10.15468/dl.v6w7p8
title: Occurrence Download

description: A dataset containing 2727114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is one of (FALSE)",
 "OccurrenceStatus is one of (Present)",
 "HasCoordinate is one of (TRUE)",
 "Geometry POLYGON ((-87.6298809665895 41.97100570963448, -87.64212173222474 41.970557963048, -87.65424410105632 41.96921905410995, -87.66613083628755 41.96700193284934, -87.67766700919307 41.96392804163405, -87.68874112344459 41.960027105174696, -87.69924620418888 41.955336839559735, -87.70908084079652 41.949902583307555, -87.71815017275503 41.94377685421155, -87.72636680885672 41.93701883649993, -87.73365167061662 41.929693803523655, -87.73993475173496 41.921872481816735, -87.74515578638052 41.91363036293688, -87.74926482009549 41.905046969984404, -87.75222267819986 41.89620508611195, -87.75400132768138 41.887189952670255, -87.7545841296868 41.87808844488823, -87.75396598086095 41.86898823315367, -87.75215334290398 41.85997693804867, -87.74916416081574 41.85114128729891, -87.74502767136394 41.842566282722615, -87.73978410433452 41.83433438511521, -87.73348428009477 41.82652472478263, -87.72618910791242 41.81921234514536, -87.71796899032238 41.812467486478646, -87.7089031396148 41.80635491643934, -87.69907881322835 41.80093331355985, -87.68859047547097 41.79625470936965, -87.67753889355612 41.79236399424223, -87.66603017643465 41.789298491462596, -87.65417476532178 41.78708760337512, -87.64208638516689 41.78575253280745, -87.6298809665895 41.785306082280265, -87.61767554801212 41.78575253280745, -87.60558716785722 41.78708760337512, -87.59373175674438 41.789298491462596, -87.58222303962287 41.79236399424223, -87.57117145770803 41.79625470936965, -87.56068311995065 41.80093331355985, -87.5508587935642 41.80635491643934, -87.54179294285663 41.812467486478646, -87.53357282526659 41.81921234514537, -87.52627765308424 41.82652472478263, -87.51997782884449 41.83433438511521, -87.51473426181506 41.842566282722615, -87.51059777236328 41.85114128729891, -87.50760859027503 41.85997693804867, -87.50579595231805 41.86898823315367, -87.50517780349219 41.87808844488823, -87.50576060549763 41.887189952670255, -87.50753925497915 41.89620508611195, -87.5104971130835 41.905046969984404, -87.51460614679847 41.91363036293688, -87.51982718144403 41.921872481816735, -87.52611026256238 41.929693803523655, -87.53339512432227 41.93701883649993, -87.54161176042398 41.94377685421155, -87.55068109238249 41.949902583307555, -87.56051572899013 41.955336839559735, -87.57102080973443 41.960027105174696, -87.58209492398593 41.96392804163405, -87.59363109689146 41.96700193284934, -87.60551783212267 41.96921905410995, -87.61764020095426 41.970557963048, -87.6298809665895 41.97100570963448))",
 "Year is greater than or equal to 2008",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 2727114 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017397-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/jyiz60nq
title: Daten des europäischen Stromsystems für den Supply Chain Radar

description: Die Open Power System Data (OPSD) Plattform bietet frei zugängliche Daten für die Erforschung des europäischen Stromsystems. Sie sammelt, überprüft, verarbeitet, dokumentiert und veröffentlicht Daten, die öffentlich verfügbar, aber oft schwer zugänglich sind. Das Ziel ist es, Forschern zu helfen, sich auf ihre Forschung zu konzentrieren, anstatt Zeit mit der Datensammlung und -aufbereitung zu verbringen. Die Plattform umfasst verschiedene Datenpakete, darunter Listen von konventionellen Kraftwerken und erneuerbaren Energieanlagen in Deutschland und anderen europäischen Ländern, Zeitreihen zu Last, Wind- und Solarenergie sowie Strompreisen in stündlicher Auflösung und stündlich aggregierte Wetterdaten für Europa. Die Daten sind klar strukturiert, gut dokumentiert und leicht zugänglich. Zudem sind die Skripte zur Datenverarbeitung Open Source und auf GitHub verfügbar. Alle Daten und Skripte sind unter offenen Lizenzen verfügbar, was eine uneingeschränkte Nutzung, einschließlich kommerzieller Anwendungen, ermöglicht. Die Plattform wurde mit dem Open Science Award Schleswig-Holstein ausgezeichnet und ist ein wertvolles Werkzeug für die Modellierung und Analyse von Stromsystemen.
DOI: 10.5281/zenodo.14277313
title: 基于TCP会话的WLCG网络质量分析数据集(WLCG System Network Quality Analysis Data Set in IHEP,WNQADSI)

description: 序号



特征名



类型



解释



数据范围



示例





1



islocal



int



是否出现多次序列号不连续



0/1



0





2



direct



int



是否出现多次重传



0/1



1





3



isserver



int



确认包时延



0-1



0.2





4



duration



Double



会话是否出现多次重传



0/1



0





5



framesizeration_in



Double



会话是否处于keep_alive状态



0-1



0.168





6



framesizeration_ot



Double



确认帧数量



0-1



0.007





7



localdelayavg



Double



源端口发送数据包数量



0-1



0.091





8



localdelaynavg



Double



源端口发送字节数



0-1



0.154





9



remotedelayavg



Double



目的端口发送数据包数量



0-1



0.154





104



remotedelaynavg



Double



目的端口发送字节数



0-1



0.154





11



Dup_ACK



Double



总发送数据包数量



0-1



0.012





12



Retrans



Double



总发送字节数



0-1



0.049





13



Malf



Double



标记是网络问题还是端问题(0:正常会话,1:网络侧异常,2:端侧异常



0-1



0.000





14



OutodOrder



int



标记(0:异常会话,1:正常会话)



0/1



0.485





15



localdlay



int



标记是否为本地延迟(0:不存在本地延迟情况;1:存在本地延迟情况)



0/1



0





16



remotedlay



int



标记是否为远端延迟(0:不存在远端延迟情况;1:存在远端延迟情况)



0/1



0





17



dupack



int 



标记是否为重复确认(0:不存在重复确认情况;1:存在重复确认情况)



0/1



0





18



retrans



int



标记是否重传(0:不存在重传情况;1:存在重传情况)



0/1



0





19



malf



int



标记是否为本地延迟(0:不存在本地延迟情况;1:存在本科延迟情况)



0/1



0





20



outoforder



int



标记是否为乱序(0:不存在乱序情况;1:存在乱序情况)



0/1



1
DOI: 10.5281/zenodo.14277314
title: 基于TCP会话的WLCG网络质量分析数据集(WLCG System Network Quality Analysis Data Set in IHEP,WNQADSI)

description: 序号



特征名



类型



解释



数据范围



示例





1



islocal



int



是否出现多次序列号不连续



0/1



0





2



direct



int



是否出现多次重传



0/1



1





3



isserver



int



确认包时延



0-1



0.2





4



duration



Double



会话是否出现多次重传



0/1



0





5



framesizeration_in



Double



会话是否处于keep_alive状态



0-1



0.168





6



framesizeration_ot



Double



确认帧数量



0-1



0.007





7



localdelayavg



Double



源端口发送数据包数量



0-1



0.091





8



localdelaynavg



Double



源端口发送字节数



0-1



0.154





9



remotedelayavg



Double



目的端口发送数据包数量



0-1



0.154





104



remotedelaynavg



Double



目的端口发送字节数



0-1



0.154





11



Dup_ACK



Double



总发送数据包数量



0-1



0.012





12



Retrans



Double



总发送字节数



0-1



0.049





13



Malf



Double



标记是网络问题还是端问题(0:正常会话,1:网络侧异常,2:端侧异常



0-1



0.000





14



OutodOrder



int



标记(0:异常会话,1:正常会话)



0/1



0.485





15



localdlay



int



标记是否为本地延迟(0:不存在本地延迟情况;1:存在本地延迟情况)



0/1



0





16



remotedlay



int



标记是否为远端延迟(0:不存在远端延迟情况;1:存在远端延迟情况)



0/1



0





17



dupack



int 



标记是否为重复确认(0:不存在重复确认情况;1:存在重复确认情况)



0/1



0





18



retrans



int



标记是否重传(0:不存在重传情况;1:存在重传情况)



0/1



0





19



malf



int



标记是否为本地延迟(0:不存在本地延迟情况;1:存在本科延迟情况)



0/1



0





20



outoforder



int



标记是否为乱序(0:不存在乱序情况;1:存在乱序情况)



0/1



1
DOI: 10.15468/dl.rjhjtt
title: Occurrence Download

description: A dataset containing 14371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aposeris foetida (L.) Less., Hyoseris calyculata Poir., Aposeris foetida Cass., 1827, Ageratum glanduliferum var. glanduliferum, Lapsana taraxacoides Forssk., Lapsana taraxaconoides J.F.Gmel., Cichorium aposeris E.H.L.Krause, Hyoseris setulosa Guss. ex DC., Hyoseris foetida L., Bohadschia lucida F.W.Schmidt, Cynthia montana Standl., Lapsana foetida (L.) F.W.Schmidt)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 14371 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017499-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mhndjy
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Upeneus bensasi (Temminck & Schlegel, 1843)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017504-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/hc7409zn
title: Statistische, europäische Daten für den Supply Chain Radar

description: Copilot Eurostat, die statistische Abteilung der Europäischen Kommission, bietet hochwertige Statistiken und Daten über Europa an. Über die Webseite https://ec.europa.eu/eurostat/de/web/main/home erhalten Nutzer Zugang zu einer Vielzahl von Tools und Dienstleistungen. Dazu gehören umfassende Datenbanken, statistische Themen mit Hintergrundinformationen und detaillierten Analysen, interaktive Veröffentlichungen, Berichte und Jahrbücher sowie Veranstaltungen und Webinare. Eurostat stellt verlässliche und objektive Daten bereit, die für Entscheidungsträger, Forscher und die interessierte Öffentlichkeit von großer Bedeutung sind.
DOI: 10.15468/dl.8kjxp7
title: Occurrence Download

description: A dataset containing 4419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Arcuatula senhousia (W.H.Benson, 1842)"
 ]
}

 The dataset includes 4419 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017501-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6338463
title: Stellar Population Spectra from Maraston et al. (2005)

description: Models from Maraston (2005, MNRAS, 362, 799); Maraston (1998, MNRAS, 300, 872). Data downloaded from http://web.archive.org/web/20220121155147/http://www.icg.port.ac.uk/~maraston/Claudia's_Stellar_Population_Model.html.





SSP_Spectra_Maraston_hbMorphologyRed_imfKroupa.hdf5





Kroupa IMF




“Red” horizontal branch morphology






SSP_Spectra_Maraston_hbMorphologyRed_imfSalpeter.hdf5





Salpeter IMF




“Red” horizontal branch morphology






SSP_Spectra_Maraston_hbMorphologyBlue_imfKroupa.hdf5





Kroupa IMF




“Blue” horizontal branch morphology






SSP_Spectra_Maraston_hbMorphologyBlue_imfSalpeter.hdf5





Salpeter IMF




“Blue” horizontal branch morphology
DOI: 10.5281/zenodo.6338464
title: Stellar Population Spectra from Maraston et al. (2005)

description: Models from Maraston (2005, MNRAS, 362, 799); Maraston (1998, MNRAS, 300, 872). Data downloaded from http://web.archive.org/web/20220121155147/http://www.icg.port.ac.uk/~maraston/Claudia's_Stellar_Population_Model.html.





SSP_Spectra_Maraston_hbMorphologyRed_imfKroupa.hdf5





Kroupa IMF




“Red” horizontal branch morphology






SSP_Spectra_Maraston_hbMorphologyRed_imfSalpeter.hdf5





Salpeter IMF




“Red” horizontal branch morphology






SSP_Spectra_Maraston_hbMorphologyBlue_imfKroupa.hdf5





Kroupa IMF




“Blue” horizontal branch morphology






SSP_Spectra_Maraston_hbMorphologyBlue_imfSalpeter.hdf5





Salpeter IMF




“Blue” horizontal branch morphology
DOI: 10.15468/dl.ksypum
title: Occurrence Download

description: A dataset containing 23036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vicia sativa L.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 23036 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017502-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mpju99
title: Occurrence Download

description: A dataset containing 4299348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magnoliopsida, Liliopsida, Gnetopsida, Cycadopsida, Cycadopsis Debey, 1848, Pinopsida, Ginkgoopsida)",
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Continent is Africa"
 ]
}

 The dataset includes 4299348 records from 656 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017470-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15742555
title: AIR-VIEW: The Aviation Image Repository for Visibility Estimation of Weather

description: The Aviation Image Repository for Visibility Estimation of Weather (AIR-VIEW) dataset contains around 150,000 images scraped from the FAA Weather Camera network along with their tagged visibilities.  The intended purpose is to provide Machine Learning researchers with a dataset to work on the atmospheric visibility problem.

This dataset has been split into multiple parts due to upload limits. To reassemble:

Linux/macOS:  cat AIR-VIEW.zip.part_* > AIR-VIEW.zip

Windows (with 7-Zip):  Use the “Combine files” feature.

Then unzip/extract AIR-VIEW.zip as usual.
DOI: 10.5281/zenodo.15742554
title: AIR-VIEW: The Aviation Image Repository for Visibility Estimation of Weather

description: The Aviation Image Repository for Visibility Estimation of Weather (AIR-VIEW) dataset contains around 150,000 images scraped from the FAA Weather Camera network along with their tagged visibilities.  The intended purpose is to provide Machine Learning researchers with a dataset to work on the atmospheric visibility problem.

This dataset has been split into multiple parts due to upload limits. To reassemble:

Linux/macOS:  cat AIR-VIEW.zip.part_* > AIR-VIEW.zip

Windows (with 7-Zip):  Use the “Combine files” feature.

Then unzip/extract AIR-VIEW.zip as usual.
DOI: 10.15468/dl.ud55dp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mus musculus Linnaeus, 1758",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077613-250525065834625/datasets/export for details.
DOI: 10.15468/dl.8hfas7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mus musculus Linnaeus, 1758",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077614-250525065834625/datasets/export for details.
DOI: 10.15468/dl.qpj3c3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mus musculus Linnaeus, 1758",
 "Country is Grenada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077617-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.256fgu
title: Occurrence Download

description: A dataset containing 1122195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Populus tristis Fisch. ex Dippel, Populus cathayana Rehder, Populus mexicana Wesm., Populus ilicifolia (Engl.) Rouleau, Populus balsamifera L., Populus heterophylla L., Populus alba L., Populus ciliata Wall. ex Royle, Populus alba L., Populus adenopoda Maxim., Populus tremuloides Michx., Populus brandegeei C.K.Schneid., Populus honanensis T.B.Chao & C.W.Chiuan, Populus macrocarpa (Schrenk) Pavlov & Lipsch. ex Pavlov, Populus laurifolia Ledeb., Populus lasiocarpa Oliv., Populus simaroa Rzed., Populus yunnanensis Dode, Populus manshurica Nakai, Populus tremula L., Populus nakaii A.K.Skvortsov, Populus haoana W.C.Cheng & C.Wang, Populus fremontii S.Watson, Populus angustifolia E.James, Populus deltoides W.Bartram ex Marshall, Populus nigra L., Populus laurifolia Ledeb., Populus simonii Carrière, Populus szechuanica C.K.Schneid., Populus usbekistanica Kom., Populus euphratica Olivier, Populus pseudosimonii Kitag., Populus macrocarpa (Schrenk) Pavlov & Lipsch. ex Pavlov, Populus pruinosa Schrenk, Populus grandidentata Michx., Populus alba L., Populus glauca Haines, Populus girinensis A.K.Skvortsov)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1122195 records from 3664 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077596-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1078804.10fu
title: SH1078804.10FU

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/sh1078805.10fu
title: SH1078805.10FU

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/sh1078810.10fu
title: SH1078810.10FU

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/sh1078817.10fu
title: SH1078817.10FU

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/sh1078820.10fu
title: SH1078820.10FU

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.