cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14060728
title: Recording of Hera X-band telemetry with the Allen Telescope Array shortly after launch (part 1/2)

description: This dataset contains an IQ recording of the X-band 8435.8 MHz telemetry signal from the Hera spacecraft done with the Allen Telescope Array starting 1 hour and 30 minutes after launch. Antenna 1a from the ATA was used in dual linear polarization (X and Y polarizations).

The hardware configuration was as follows: the antenna was connected to RFCB LO d, which was tuned to a frequency of 8435 MHz for one of the recordings and 8435.75 MHz for the other one, and used an output IF of 512 MHz. A USRP N321 digitized both polarizations of each antenna. The USRP used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among the two channels. The IQ sample rate of the USRP was 6.144 Msps, and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the GNU Radio metatata file format, with detached headers. The header files are included in the dataset as .hdr files. After recording, the data was formatted in SigMF with the script do_sigmf.py.

Antenna pointing was done manually by trying to maximize the received signal power, since the ephemerides publicly available when the launch happened differed greatly from the true launch trajectory. As a consequence, there is signal fading when the antenna is not pointed correctly.

This dataset is part 1/2. It contains two recordings of the low rate telemetry signal. Part 2/2 contains a recording of the high rate telemetry signal.
DOI: 10.5281/zenodo.14060729
title: Recording of Hera X-band telemetry with the Allen Telescope Array shortly after launch (part 1/2)

description: This dataset contains an IQ recording of the X-band 8435.8 MHz telemetry signal from the Hera spacecraft done with the Allen Telescope Array starting 1 hour and 30 minutes after launch. Antenna 1a from the ATA was used in dual linear polarization (X and Y polarizations).

The hardware configuration was as follows: the antenna was connected to RFCB LO d, which was tuned to a frequency of 8435 MHz for one of the recordings and 8435.75 MHz for the other one, and used an output IF of 512 MHz. A USRP N321 digitized both polarizations of each antenna. The USRP used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among the two channels. The IQ sample rate of the USRP was 6.144 Msps, and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the GNU Radio metatata file format, with detached headers. The header files are included in the dataset as .hdr files. After recording, the data was formatted in SigMF with the script do_sigmf.py.

Antenna pointing was done manually by trying to maximize the received signal power, since the ephemerides publicly available when the launch happened differed greatly from the true launch trajectory. As a consequence, there is signal fading when the antenna is not pointed correctly.

This dataset is part 1/2. It contains two recordings of the low rate telemetry signal. Part 2/2 contains a recording of the high rate telemetry signal.
DOI: 10.5281/zenodo.14060872
title: Recording of Hera X-band telemetry with the Allen Telescope Array shortly after launch (part 2/2)

description: This dataset contains an IQ recording of the X-band 8435.8 MHz telemetry signal from the Hera spacecraft done with the Allen Telescope Array starting 1 hour and 30 minutes after launch. Antenna 1a from the ATA was used in dual linear polarization (X and Y polarizations).

The hardware configuration was as follows: the antenna was connected to RFCB LO d, which was tuned to a frequency of 8435.75 MHz and used an output IF of 512 MHz. A USRP N321 digitized both polarizations of each antenna. The USRP used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among the two channels. The IQ sample rate of the USRP was 6.144 Msps, and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the GNU Radio metatata file format, with detached headers. The header files are included in the dataset as .hdr files.

After recording, the data was downsampled to 2.048 Msps 8-bit IQ to reduce the size, and formatted in SigMF with the script do_sigmf.py (contained in part 1/2).

Antenna pointing was done manually by trying to maximize the received signal power, since the ephemerides publicly available when the launch happened differed greatly from the true launch trajectory. As a consequence, there is signal fading when the antenna is not pointed correctly.

This dataset is part 2/2. It contains a recording of the high rate telemetry signal. Part 1/2 contains two recordings of the low rate telemetry signal.
DOI: 10.5281/zenodo.14060873
title: Recording of Hera X-band telemetry with the Allen Telescope Array shortly after launch (part 2/2)

description: This dataset contains an IQ recording of the X-band 8435.8 MHz telemetry signal from the Hera spacecraft done with the Allen Telescope Array starting 1 hour and 30 minutes after launch. Antenna 1a from the ATA was used in dual linear polarization (X and Y polarizations).

The hardware configuration was as follows: the antenna was connected to RFCB LO d, which was tuned to a frequency of 8435.75 MHz and used an output IF of 512 MHz. A USRP N321 digitized both polarizations of each antenna. The USRP used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among the two channels. The IQ sample rate of the USRP was 6.144 Msps, and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the GNU Radio metatata file format, with detached headers. The header files are included in the dataset as .hdr files.

After recording, the data was downsampled to 2.048 Msps 8-bit IQ to reduce the size, and formatted in SigMF with the script do_sigmf.py (contained in part 1/2).

Antenna pointing was done manually by trying to maximize the received signal power, since the ephemerides publicly available when the launch happened differed greatly from the true launch trajectory. As a consequence, there is signal fading when the antenna is not pointed correctly.

This dataset is part 2/2. It contains a recording of the high rate telemetry signal. Part 1/2 contains two recordings of the low rate telemetry signal.
DOI: 10.15468/dl.rf46ug
title: Occurrence Download

description: A dataset listing the 4004990 species recorded in GBIF matching the query:
{ }

 The dataset's 4004990 records were derived from 68784 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006204-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mb4vc3
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uruguay",
 "OccurrenceStatus is Present",
 "PublishingOrg is 862f7ec3-3134-4dce-ab5a-03c81f54bd72",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 229 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006228-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55238n
title: Occurrence Download

description: A dataset listing the 1722 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mollusca of Costa Rica (INBio)"
 ]
}

 The dataset's 1722 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006214-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtfs4b
title: Occurrence Download

description: A dataset containing 17596 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Materials of the web site \"Birds of Ukraine\""
 ]
}

 The dataset includes 17596 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006230-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kp95ve
title: Occurrence Download

description: A dataset containing 5063 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is one of (Culex quinquefasciatus Say, 1823, Culex Linnaeus, 1758)"
 ]
}

 The dataset includes 5063 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006232-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwd4d5
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uruguay",
 "OccurrenceStatus is Present",
 "PublishingOrg is 862f7ec3-3134-4dce-ab5a-03c81f54bd72",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 229 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006233-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7h27jt
title: Occurrence Download

description: A dataset containing 121718 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "TaxonKey is Carnivora"
 ]
}

 The dataset includes 121718 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006227-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnp9kf
title: Occurrence Download

description: A dataset containing 463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Venezuela (Bolivarian Republic of)",
 "OccurrenceStatus is Present",
 "TaxonKey is Iguana Laurenti, 1768"
 ]
}

 The dataset includes 463 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006234-241107131044228/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/9865701
title: Medical data scraped
DOI: 10.15468/dl.exudux
title: Occurrence Download

description: A dataset containing 463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Venezuela (Bolivarian Republic of)",
 "OccurrenceStatus is Present",
 "TaxonKey is Iguana Laurenti, 1768"
 ]
}

 The dataset includes 463 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006235-241107131044228/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.27683169
title: Molecular insights into the overall architecture of human rixosome

description: Atomic models and corresponding cryo-EM maps
DOI: 10.15468/dl.adp2cz
title: Occurrence Download

description: A dataset listing the 107 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Triticum L."
 ]
}

 The dataset's 107 records were derived from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058504-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gn43s6
title: Occurrence Download

description: A dataset containing 1191440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Motacilla flava Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1191440 records from 2167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058506-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0178177.10fu
title: SH0178177.10FU

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/sh0178178.10fu
title: SH0178178.10FU

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/sh0178179.10fu
title: SH0178179.10FU

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: 10.5281/zenodo.17952538
title: Dataset: Development of solid-state fluorescence lifetime standards for clinical applications using dyed epoxy resins

description: This repository contains the data and analysis code from the manuscript "Development of solid-state fluorescence lifetime standards for clinical applications using dyed epoxy resins", by Dario Angelone et al. , Biophotonics@Tyndall, Tyndall National Institute, Lee Maltings Complex, Cork, T12 R5CP, Ireland.
DOI: 10.5281/zenodo.17952539
title: Dataset: Development of solid-state fluorescence lifetime standards for clinical applications using dyed epoxy resins

description: This repository contains the data and analysis code from the manuscript "Development of solid-state fluorescence lifetime standards for clinical applications using dyed epoxy resins", by Dario Angelone et al. , Biophotonics@Tyndall, Tyndall National Institute, Lee Maltings Complex, Cork, T12 R5CP, Ireland.
DOI: 10.15156/bio/sh0178180.10fu
title: SH0178180.10FU

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: 10.5281/zenodo.18200224
title: КЛИНИКО‑ПАТОМОРФОЛОГИЧЕСКОЕ ЗНАЧЕНИЕ ПОВРЕЖДЕНИЙ ФОРНИКАЛЬНОГО АППАРАТА ПРИ ПОЧЕЧНОКАМЕННОЙ БОЛЕЗНИ

description: Повреждения форникального аппарата почки при почечнокаменной болезни являются важным морфологическим субстратом ряда клинических осложнений, включая форникальные кровотечения, разрывы чашечек и формирование урином. Несмотря на относительную локальность поражения, данные изменения оказывают существенное влияние на течение заболевания, прогноз и выбор лечебной тактики. В статье представлен обзор клинико‑патоморфологических аспектов повреждений форникального аппарата при почечнокаменной болезни с акцентом на их диагностическое и прогностическое значение.
DOI: 10.5281/zenodo.18200225
title: КЛИНИКО‑ПАТОМОРФОЛОГИЧЕСКОЕ ЗНАЧЕНИЕ ПОВРЕЖДЕНИЙ ФОРНИКАЛЬНОГО АППАРАТА ПРИ ПОЧЕЧНОКАМЕННОЙ БОЛЕЗНИ

description: Повреждения форникального аппарата почки при почечнокаменной болезни являются важным морфологическим субстратом ряда клинических осложнений, включая форникальные кровотечения, разрывы чашечек и формирование урином. Несмотря на относительную локальность поражения, данные изменения оказывают существенное влияние на течение заболевания, прогноз и выбор лечебной тактики. В статье представлен обзор клинико‑патоморфологических аспектов повреждений форникального аппарата при почечнокаменной болезни с акцентом на их диагностическое и прогностическое значение.
DOI: 10.15156/bio/sh0178181.10fu
title: SH0178181.10FU

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/sh0178182.10fu
title: SH0178182.10FU

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/sh0178183.10fu
title: SH0178183.10FU

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/sh0178184.10fu
title: SH0178184.10FU

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.