cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7t72ta
title: Occurrence Download

description: A dataset containing 683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Records of birds on the stationary observation points within the northern and southern Ukraine since 1987, Records of vascular plants, bryophytes and lichens from Ukrainian Grassland Database, Records of alien species in Ukraine, Modern studies of rare biodiversity in Ukraine (2025), EOD – eBird Observation Dataset, Moscow University Herbarium (MW), Syrphidae (Diptera, Brachycera) collection of the I.I. Schmalhausen Institute of Zoology NAS of Ukraine, iNaturalist Research-grade Observations, Records of protected animals species in Ukraine, Records of Ukrainian Potter wasps, Pollen wasps and Sapygid wasp (Hymenoptera: Eumenidae, Vespidae, Masaridae, Sapygidae), NMNH Material Samples (USNM), Records of Ukrainian apoid wasps (Hymenoptera: Crabronidae, Sphecidae), NMNH Extant Specimen Records (USNM, US), Lund University Biological Museum - Insect collections Specimens, Revision of the Old World species of the genus Tephritis (Diptera, Tephritidae) with a pair of isolated apical spots, Some finds of birds, mammals, insects, amphibians, reptiles and vascular plants within the Kyiv administrative region of Ukraine)",
 "Geometry POLYGON((30.56497 50.28986,30.55909 50.29163,30.53416 50.29025,30.53387 50.28181,30.53383 50.28049,30.5341 50.2777,30.53469 50.27503,30.53926 50.27124,30.57304 50.26217,30.56497 50.28986))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 683 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004384-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bsfza
title: Occurrence Download

description: A dataset containing 12383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , Cyclospermum leptophyllum, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Cyclospermum leptophyllum, , , , , , , , , , , , , , , , , , , , , , , , , , , , Cyclospermum leptophyllum, , , , , , , , , , , , , Ciclospermum leptophyllum, , , Ciclospermum leptophyllum, , , Ciclospermum leptophyllum, , , , , , , , , , , , , Ciclospermum ammi, Pimpinella domingensis, Cyclospermum ammi, , , Sison ranunculifolium, Oreosciadium andinum, Selinum leptophyllum, , Apium ranunculifolium, , , , , , , , , , , , , , Cnidium tenuifolium, , , , , , , , , , , , , , , , , , Sison ammi, , , Helosciadium heterophyllum, , , , , Apium ranunuculifolium, , , , , , , , , , , , , , , , , , , , , , Helosciadium ranunculifolium, Seseli ammi, , , , , , , , , , , , , , Pimpinella domingensis, Sison capillaceum, , Cyclospermum tenuifolium, , , , , , , , , , , , , , , , , , Apium andinum, , , Apium depressum, , Helosciadium lateriflorum, Apium leptophyllum, , , , , , , , , , , , , , , , Apium ranunculifolium, , , , Apium tenuifolium, , , Apium rivulare, , , , , , , , , , , , , , , , , , , , Pimpinella leptophylla, Cyclospermum ammi, Sium nodiflorum, , Aethusa leptophylla, , Apium ammi, , Apium leptophyllum, Helosciadium ranunculifolium, Apium tenuifolium, Pimpinella domingensis, , , , , , , , , , , , , , , , Selinum leptophyllum, Apium leptophyllum, Sison ranunculifolium, , Helosciadium leptophyllum, , , Apium wolffianum, , Ptychotis leptophylla, , , , , , , , , , , , , , , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12383 records from 410 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004383-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fgbrq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boiga dightoni",
 "Year 2000-2026"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004385-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14994997
title: Mahanagar Yatayat Transport Dataset
DOI: 10.3886/e246564
title: Bayero University, Kano (BUK) 2026/2027 Admission Form is out call 09017730052 To Purchase And Further Registration Guidelines Contact Dr . Sir Martins +2349017730052 or WhatsApp 08169753031

description: Bayero University, Kano (BUK) 2026/2027 Admission Form is out call 09017730052 To Purchase And Further Registration Guidelines Contact Dr . Sir Martins +2349017730052 or WhatsApp 08169753031
DOI: 10.3886/e246564v1
title: Bayero University, Kano (BUK) 2026/2027 Admission Form is out call 09017730052 To Purchase And Further Registration Guidelines Contact Dr . Sir Martins +2349017730052 or WhatsApp 08169753031

description: Bayero University, Kano (BUK) 2026/2027 Admission Form is out call 09017730052 To Purchase And Further Registration Guidelines Contact Dr . Sir Martins +2349017730052 or WhatsApp 08169753031
DOI: 10.5281/zenodo.18789030
title: INDRA-CMIP6: Indian Subcontinent high Resolution Downscaled pRecipitation and Air Temperature Data from CMIP6 [Part 1: Daily Precipitation]

description: This dataset contains downscaled and bias-corrected multi-model ensemble (MME) mean daily precipitation (pr) over the Indian subcontinent at 0.1° × 0.1° spatial resolution. The data cover the historical period (1979–2014) and future projections (2015–2100) under four Shared Socioeconomic Pathways (SSP126, SSP245, SSP370, and SSP585). The archive is compressed into a single .zip file containing NetCDF (.nc) files at daily temporal resolution, structured as three-dimensional arrays (longitude: 65.5°E–100°E, latitude: 5°N–40°N, and time beginning 1 January 1979). The dataset represents the ensemble mean of 14 CMIP6 GCMs after multivariate bias correction. The complete downscaled and bias-corrected outputs for the individual 14 CMIP6 GCMs are available separately via Google Drive: https://drive.google.com/drive/folders/1kW-B8ME17LIB1YB1ZZP2yoFPDarQMnUH?usp=sharing, organized as /{variable}/{model_name}/{scenarios}. This dataset is suitable for hydrological modeling, extreme precipitation analysis, and climate impact studies over the Indian subcontinent.
DOI: 10.5281/zenodo.18789029
title: INDRA-CMIP6: Indian Subcontinent high Resolution Downscaled pRecipitation and Air Temperature Data from CMIP6 [Part 1: Daily Precipitation]

description: This dataset contains downscaled and bias-corrected multi-model ensemble (MME) mean daily precipitation (pr) over the Indian subcontinent at 0.1° × 0.1° spatial resolution. The data cover the historical period (1979–2014) and future projections (2015–2100) under four Shared Socioeconomic Pathways (SSP126, SSP245, SSP370, and SSP585). The archive is compressed into a single .zip file containing NetCDF (.nc) files at daily temporal resolution, structured as three-dimensional arrays (longitude: 65.5°E–100°E, latitude: 5°N–40°N, and time beginning 1 January 1979). The dataset represents the ensemble mean of 14 CMIP6 GCMs after multivariate bias correction. The complete downscaled and bias-corrected outputs for the individual 14 CMIP6 GCMs are available separately via Google Drive: https://drive.google.com/drive/folders/1kW-B8ME17LIB1YB1ZZP2yoFPDarQMnUH?usp=sharing, organized as /{variable}/{model_name}/{scenarios}. This dataset is suitable for hydrological modeling, extreme precipitation analysis, and climate impact studies over the Indian subcontinent.
DOI: 10.15468/dl.9br2pb
title: Occurrence Download

description: A dataset containing 8895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , , , , , , , , , , , , , , , , , , , Cyperus alternifolius, , , , , , , , , , , , , , , , , , Cyperus alternifolius, , , , , , , , , , Cyperus alternifolius, , , , , Cyperus alternifolius, , , , , , , , , , , , , , Cyperus alternifolius, , , , , , , , , , , , , Cyperus alternifolius, , Pachypanchax sakaramyi, Cyperus burchellii, , , , , , , , , , , , , , , , , , , , Eucyperus textilis, , , , , , , Cyperus flabelliformis, Cyperus asperifolius, , , , , , , , Cyperus alternoifolus, Cyperus racemosus, , , , , , , , Eucyperus alternifolius, Cyperus frondosus, Cyperus flagellatus, , , , , , , , Eucyperus pungens, Cyperus gradatus, Cyperus petersianus, , , , , , , , , , , Cyperus involucratus, , Cyperus textilis, Cyperus proximus, Cyperus smithii, , , , , , , , , , , Cyperus onustus, , , , , , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8895 records from 357 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004386-260226173443078/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.28831319
title: Requisitos para la selección de software de gestión para bibliotecas y colecciones digitales patrimoniales

description: Este conjunto de datos recoge una recopilación de requisitos para la selección de sistemas de gestión de repositorios para fondos y colecciones patrimoniales consolidados a través de una revisión bibliográfica y el análisis de algunas de las aplicaciones de software más representativas del mercado: DSpace-GLAM, Omeka Classic, Omeka S, Artefactual y ArchivesSpace.
DOI: 10.15468/dl.pqmv86
title: Occurrence Download

description: A dataset containing 15936 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is MIDOC fish and micronekton samples - RV Investigator voyage IN2017_V04, Tasman Sea (2017)"
 ]
}

 The dataset includes 15936 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004085-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ruvjh
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spalerosophis atriceps (Fischer, 1885)"
 ]
}

 The dataset includes 14 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022030-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zkyb34
title: Occurrence Download

description: A dataset containing 2706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anabacerthia amaurotis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 2706 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079252-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16605837
title: Cytoplasmic Fluidity and the Cold Life: ProteomeStability is Decoupled from Viability in Psychrophiles
title: Aquifex Aeolicus System 1 - Trajectories

description: This dataset accompanies the article: 



"Cytoplasmic Fluidity and the Cold Life:  ProteomeStability is Decoupled from Viability in Psychrophiles".

By Beatrice Caviglia, Stepan Timr, Marianne Guiral, Marie-Thérèse Giudici-Orticoni, Tilo Seydel, Christian Beck, Judith Peters, Fabio Sterpone, Alessandro Paciaroni


The zip archive includes:



MD trajectory files (xtc, gro, tpr) of folded and unfolded simulations of System 1 of A. aeolicus at various temperatures.



Water and ions have been removed from the data.

Additionally two files containing the protein and chain indeces are provided for analysis and visualization.




Related repositories:



Starting Configurations of all Systems: 10.5281/zenodo.16536747

Psychrobacter Arcticus System 1 - Trajectories: 10.5281/zenodo.16600218

Psychrobacter Arcticus System 4 - Trajectories: 10.5281/zenodo.16603402 

Aquifex Aeolicus System 1 - Trajectories: 10.5281/zenodo.16605838

DeepSTABp melting temperatures of P. arcticus and E. coli: 10.5281/zenodo.16610190
DOI: 10.5281/zenodo.16605838
title: Cytoplasmic Fluidity and the Cold Life: ProteomeStability is Decoupled from Viability in Psychrophiles
title: Aquifex Aeolicus System 1 - Trajectories

description: This dataset accompanies the article: 



"Cytoplasmic Fluidity and the Cold Life:  ProteomeStability is Decoupled from Viability in Psychrophiles".

By Beatrice Caviglia, Stepan Timr, Marianne Guiral, Marie-Thérèse Giudici-Orticoni, Tilo Seydel, Christian Beck, Judith Peters, Fabio Sterpone, Alessandro Paciaroni


The zip archive includes:



MD trajectory files (xtc, gro, tpr) of folded and unfolded simulations of System 1 of A. aeolicus at various temperatures.



Water and ions have been removed from the data.

Additionally two files containing the protein and chain indeces are provided for analysis and visualization.




Related repositories:



Starting Configurations of all Systems: 10.5281/zenodo.16536747

Psychrobacter Arcticus System 1 - Trajectories: 10.5281/zenodo.16600218

Psychrobacter Arcticus System 4 - Trajectories: 10.5281/zenodo.16603402 

Aquifex Aeolicus System 1 - Trajectories: 10.5281/zenodo.16605838

DeepSTABp melting temperatures of P. arcticus and E. coli: 10.5281/zenodo.16610190
DOI: 10.5281/zenodo.14289198
title: Bildungsromankorpus

description: Dies ist eine Sammlung an Bildungs- und Entwicklungsromanen (126 Volltexte aus den Jahren 1749 bis 1930 [ein Text ist 1967 posthum erschienen]), welche in ihrer Gattungszuordnung relevanter Sekundärliteraturen entnommen wurden. Die Quelle(n) der Zuordnung finden Sie in der Metadatenliste. Fünf Übersetzungen wurden in das Korpus aufgenommen, weil sie in der Forschungsliteratur zum deutschsprachigen Bildungsroman als Grundlagentexte der Gattung gelten. Grundsätzlich enthält das Korpus aber vor allem (original) deutschsprachige Bildungsromane.

Die Metadatentabelle enthält folgende Informationen zu den Texten: Dateiname (wenn Volltext vorhanden), Titel, Untertitel, Autor*in, Erstveröffentlichung Original, Erstveröffentlichung Deutsch, Gattungszuordnung (Bildungs-, Entwicklungs- oder Backfischroman), Quelle der Zuordnung, Gender Autor*in (83 m, 43 w), Gender Hauptfigur (80 m, 46 w), Copyright-Status, Volltext (ja/nein), Quelle des Volltextes.

Alle Texte im Volltextkorpus sind gemeinfrei. Die Metadatentabelle enthält auch Daten zu Texten, die in Deutschland derzeit (Dezember 2024) noch urheberrechtlich geschützt sind.

Das Bildungsromankorpus wurde im Rahmen der Projekte BiLinked (Stiftung Innovation in der Hochschullehre) und Curriculum 4.0.nrw (Stifterverband) entwickelt.
DOI: 10.5281/zenodo.14289199
title: Bildungsromankorpus

description: Dies ist eine Sammlung an Bildungs- und Entwicklungsromanen (126 Volltexte aus den Jahren 1749 bis 1930 [ein Text ist 1967 posthum erschienen]), welche in ihrer Gattungszuordnung relevanter Sekundärliteraturen entnommen wurden. Die Quelle(n) der Zuordnung finden Sie in der Metadatenliste. Fünf Übersetzungen wurden in das Korpus aufgenommen, weil sie in der Forschungsliteratur zum deutschsprachigen Bildungsroman als Grundlagentexte der Gattung gelten. Grundsätzlich enthält das Korpus aber vor allem (original) deutschsprachige Bildungsromane.

Die Metadatentabelle enthält folgende Informationen zu den Texten: Dateiname (wenn Volltext vorhanden), Titel, Untertitel, Autor*in, Erstveröffentlichung Original, Erstveröffentlichung Deutsch, Gattungszuordnung (Bildungs-, Entwicklungs- oder Backfischroman), Quelle der Zuordnung, Gender Autor*in (83 m, 43 w), Gender Hauptfigur (80 m, 46 w), Copyright-Status, Volltext (ja/nein), Quelle des Volltextes.

Alle Texte im Volltextkorpus sind gemeinfrei. Die Metadatentabelle enthält auch Daten zu Texten, die in Deutschland derzeit (Dezember 2024) noch urheberrechtlich geschützt sind.

Das Bildungsromankorpus wurde im Rahmen der Projekte BiLinked (Stiftung Innovation in der Hochschullehre) und Curriculum 4.0.nrw (Stifterverband) entwickelt.
DOI: 10.3886/e243864v1
title: NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease

description: NNDSS - TABLE 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease – 2020. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html.

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published.
NC: Not calculated — There is insufficient data available to support the calculation of this statistic.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2019 and 2020 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
†Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
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description: (Downloaded 1/12/2026)
DOI: 10.15156/bio/sh1802982.10fu
title: SH1802982.10FU

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/sh1803015.10fu
title: SH1803015.10FU

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/sh1803035.10fu
title: SH1803035.10FU

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/sh1803052.10fu
title: SH1803052.10FU

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.