cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/fe82-bq83
title: Parkes observations for project P1328 semester 2025APRS_10

description: Fast radio bursts are peculiar micro-millisecond duration transients, which have been seen to be extragalactic in origin. Since their discovery, a dichotomy has emerged in their population. Some FRBs have been seen to be repeating, while others have not been seen to be repeating. The repeating FRBs, such as FRB 20180301A, provide an unparalleled window into their circumburst environment due to their repeating nature, which can be used to constrain possible progenitor models and test underlying emission mechanisms. Additionally, FRB 20180301A has been seen to have interesting polarisation properties, such as a switch in the sign of RM, indicating a reversal in the magnetic field and a marked reduction in the linear polarisation fraction towards lower frequencies (depolarisation). The previous Parkes/Murriyang source follow-up has also revealed a temporal evolution in the dispersion measure (DM) of the source and tentative evidence for correlation in the DM and rotation measure (RM). The ultra-wideband low (UWL) receiver on Parkes/Murriyang is ideally suited to explore the wideband spectro-temporal and polarimetric behaviour of the source. We propose regular monitoring of FRB 20180301A using UWL to model the magnetic field evolution, study its circumburst media using depolarisation behaviour, and constrain any correlation of DM and RM.
DOI: 10.25919/66w5-yp13
title: Parkes observations for project P630 semester 2011APRS_01

description: We propose to carry out the most ambitious and comprehensive all-sky survey for pulsars and transient sources to date. Using the 20cm multibeam and a new digital filterbank array this survey will create a petabyte digital record of the sky that can be data mined in the future and used to search for relativistic binary and millisecond pulsars, RRATs, and extragalactic radio bursts. The survey should discover 100s of new millisecond and normal pulsars and help define the lower limit to pulsar periods, test theories of relativistic gravity, find transients and provide pulsars for gravitational wave detection.
DOI: 10.15468/dl.7kb8vc
title: Occurrence Download

description: A dataset containing 1553 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "OccurrenceStatus is Present",
 "TaxonKey is Felis catus"
 ]
}

 The dataset includes 1553 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079249-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4jajy
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 (Saiga tatarica)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079250-250717081556266/datasets/export for details.
DOI: 10.15468/dl.2upwqa
title: Occurrence Download

description: A dataset containing 2096 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Manotes expansa)"
 ]
}

 The dataset includes 2096 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079251-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7swvv
title: Occurrence Download

description: A dataset containing 92 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 (Saiga tatarica)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 92 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079248-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16603401
title: Cytoplasmic Fluidity and the Cold Life: ProteomeStability is Decoupled from Viability in Psychrophiles
title: Psychrobacter Arcticus System 4 - 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 4 of P. arcticus 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.



Example data for analysis with custom code (github):



Translational,rotational diffusion coefficients of folded and unfolded System 4

RDF data of all protein chains in folded and unfolded System 4

Viscosity parameters of all Systems of P. artcicus, E. coli, A. aeolicus.




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.16603402
title: Cytoplasmic Fluidity and the Cold Life: ProteomeStability is Decoupled from Viability in Psychrophiles
title: Psychrobacter Arcticus System 4 - 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 4 of P. arcticus 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.



Example data for analysis with custom code (github):



Translational,rotational diffusion coefficients of folded and unfolded System 4

RDF data of all protein chains in folded and unfolded System 4

Viscosity parameters of all Systems of P. artcicus, E. coli, A. aeolicus.




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: 10.15156/bio/sh1802677.10fu
title: SH1802677.10FU

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/sh1802715.10fu
title: SH1802715.10FU

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/sh1802777.10fu
title: SH1802777.10FU

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/sh1802882.10fu
title: SH1802882.10FU

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/sh1802955.10fu
title: SH1802955.10FU

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: 10.3886/e243864
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).
Read less
description: (Downloaded 1/12/2026)
DOI: 10.60712/si-id158255.1
title: StrainInfo SI-ID 158255.1

description: StrainInfo dataset 158255 about a strain of Penicillium neoechinulatum. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158256.1
title: StrainInfo SI-ID 158256.1

description: StrainInfo dataset 158256 about a strain of Penicillium neoechinulatum. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158351.1
title: StrainInfo SI-ID 158351.1

description: StrainInfo dataset 158351 about a strain of Madurella mycetomatis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158352.1
title: StrainInfo SI-ID 158352.1

description: StrainInfo dataset 158352 about a strain of Exophiala phaeomuriformis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158353.1
title: StrainInfo SI-ID 158353.1

description: StrainInfo dataset 158353 about a strain of Trichophyton rubrum. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158354.1
title: StrainInfo SI-ID 158354.1

description: StrainInfo dataset 158354 about a strain of Pleurostoma repens. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158187.1
title: StrainInfo SI-ID 158187.1

description: StrainInfo dataset 158187 about a strain of Diplodia corticola. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158188.1
title: StrainInfo SI-ID 158188.1

description: StrainInfo dataset 158188 about a strain of Alternaria colombiana. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158189.1
title: StrainInfo SI-ID 158189.1

description: StrainInfo dataset 158189 about a strain of Alternaria perangusta. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158190.1
title: StrainInfo SI-ID 158190.1

description: StrainInfo dataset 158190 about a strain of Alternaria interrupta. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158257.1
title: StrainInfo SI-ID 158257.1

description: StrainInfo dataset 158257 about a strain of Penicillium neoechinulatum. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158258.1
title: StrainInfo SI-ID 158258.1

description: StrainInfo dataset 158258 about a strain of Penicillium neoechinulatum. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158259.1
title: StrainInfo SI-ID 158259.1

description: StrainInfo dataset 158259 about a strain of Petriella setifera. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158355.1
title: StrainInfo SI-ID 158355.1

description: StrainInfo dataset 158355 about a strain of Pleurostoma repens. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158356.1
title: StrainInfo SI-ID 158356.1

description: StrainInfo dataset 158356 about a strain of Ascochyta viciae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158357.1
title: StrainInfo SI-ID 158357.1

description: StrainInfo dataset 158357 about a strain of Trichopeziza sulphurea. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id158358.1
title: StrainInfo SI-ID 158358.1

description: StrainInfo dataset 158358 about a strain of Exophiala salmonis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.5h2qy3
title: Occurrence Download

description: A dataset listing the 28 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (meta)",
 "TaxonKey is one of (Dilleniaceae)"
 ]
 }
 ]
}

 The dataset's 28 records were derived from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081635-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.