cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1212432.10fu
title: SH1212432.10FU

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/sh1212433.10fu
title: SH1212433.10FU

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/sh1212434.10fu
title: SH1212434.10FU

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/sh1212438.10fu
title: SH1212438.10FU

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/sh1212439.10fu
title: SH1212439.10FU

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/sh1212442.10fu
title: SH1212442.10FU

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/sh1212443.10fu
title: SH1212443.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.8z62j2
title: Occurrence Download

description: A dataset containing 3248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ruditapes decussatus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 3248 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007528-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvptwt
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andrena nothocalaidis (Cockerell, 1905)"
 ]
}

 The dataset includes 183 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014233-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7bznn
title: Occurrence Download

description: A dataset containing 4490635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pelecaniformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 0,90 0,90 30,60 30,60 0))"
 ]
}

 The dataset includes 4490635 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062834-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezjbqy
title: Occurrence Download

description: A dataset containing 67358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chordata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2025",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "CoordinateUncertaintyInMeters is less than or equal to 2000",
 "Geometry POLYGON ((-120.2668 34.82019, -120.1432 34.68484, -120.0301 34.61333, -119.8986 34.56829, -119.8515 34.55977, -119.7408 34.49743, -119.607 34.45778, -119.4654 34.44798, -119.3255 34.46868, -119.251 34.49342, -119.1467 34.43474, -119.0133 34.3944, -118.8719 34.38387, -118.732 34.40384, -118.6029 34.45298, -118.4934 34.52799, -118.4109 34.62381, -118.3808 34.67988, -118.278 34.7507, -118.195 34.84634, -118.1447 34.95639, -118.1306 35.07338, -118.1673 35.26602, -118.1704 35.29585, -118.1639 35.41325, -118.1948 35.52803, -118.2612 35.63232, -118.3587 35.71898, -118.4806 35.78203, -118.6186 35.81712, -118.667 35.82202, -118.6813 36.03752, -118.7489 36.19644, -118.8297 36.29408, -118.9393 36.37141, -119.0701 36.42309, -119.2132 36.44553, -119.3859 36.43766, -119.5259 36.40495, -119.6504 36.34402, -119.7379 36.28321, -119.8757 36.29752, -120.02 36.28225, -120.1007 36.2592, -120.0584 36.35964, -120.047 36.47673, -120.0637 36.60773, -120.06 36.72513, -120.076 36.85609, -120.1251 36.96675, -120.2085 37.0634, -120.3206 37.13942, -120.3459 37.15165, -120.4821 37.19611, -120.6282 37.21076, -120.7741 37.19457, -120.8952 37.15503, -121.036 37.15629, -121.1787 37.12755, -121.307 37.07017, -121.4121 36.98812, -121.4869 36.88707, -121.5262 36.77396, -121.5436 36.65304, -121.5222 36.53686, -121.4643 36.42907, -121.3739 36.33697, -121.3132 36.29298, -121.2421 36.19052, -121.1408 36.10633, -120.9503 36.01422, -120.811 35.98191, -120.61 35.97881, -120.4693 36.00688, -120.3773 36.04097, -120.419 35.9404, -120.4298 35.82324, -120.4028 35.70781, -120.3755 35.65326, -120.4494 35.56312, -120.4968 35.45215, -120.5074 35.33494, -120.4805 35.21949, -120.4181 35.11364, -120.3408 35.03704, -120.3219 34.92867, -120.2668 34.82019))"
 ]
}

 The dataset includes 67358 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010704-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2rkc5
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "TaxonKey is Isodontia"
 ]
}

 The dataset includes 67 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010724-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.33542.84809
title: Research Visibility & Academic Impact Statement (Eng) Achievement Top 100 Most-read Authors (Last Month) – AgriEngineering
DOI: 10.15468/dl.8zcerj
title: Occurrence Download

description: A dataset containing 1213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-84.481193 41.722006, -84.536686 41.789275, -84.625843 41.789275, -84.570292 41.722006, -84.481193 41.722006))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 1213 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010725-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15726511
title: Teleseismic waveform data and P receiver functions from the Gyeongju Hi-density Broadband Seismic Network (GHBSN)

description: This repository contains raw waveform data and receiver functions (RFs) following the procedures described in the submitted manuscript.

The waveform data are provided as compressed files named NNN-NNN.tar. When decompressed, each archive creates a directory named data_yyyymmddhhmmss, where the suffix indicates the origin time of the corresponding earthquake. Similarly, RFs are distributed as compressed files named RFs_N000_N000.tar. Decompressing these files produces directories named after the corresponding station codes. Each directory contains the RF files. These files follow the naming convention N000.yyyy.ddd.hh.mm.ss_P_X.sac, where N000 is the station code; yyyy.ddd.hh.mm.ss represents the origin time of the earthquake (with ddd being the Julian day); P indicates the phase; X specifies the horizontal component used for RF calculation; .sac is the file format, following the Seismic Analysis Code (SAC) standard (https://ds.iris.edu/files/sac-manual/manual/file_format.html).

As an example, 20210217224938.NS.N081.HHZ.sac refers to a raw waveform recorded at station N081 (part of the NS network, corresponding to GHBSN) on channel HHZ. Similarly, N064.2019.083.04.37.35_P_R.sac refers to a radial RF for station N064, calculated from an earthquake that occurred on the 83rd Julian day of 2019.

Note: The raw horizontal components are not properly oriented to true north and east. Users must apply the orientation correction procedures described in the submitted article before further analysis. Station coordinates are included in the SAC file headers and also provided in the Supporting Information of the submitted manuscript. Earthquake locations and magnitudes are likewise stored in the SAC headers.

This repository provides the full dataset used in Kim et al. (2026). 

Minkyung Kim, Hobin Lim, YoungHee Kim, Junkee Rhie, Tae-Seob Kang, Kwang-Hee Kim, Jin-Han Ree, High-resolution P receiver function imaging of seismic crustal structure in the southeastern Korean Peninsula: Implications for deformation associated with Miocene backarc extension, Geophysical Journal International, 2026;, ggag030, https://doi.org/10.1093/gji/ggag030
DOI: 10.5281/zenodo.15726512
title: Teleseismic waveform data and P receiver functions from the Gyeongju Hi-density Broadband Seismic Network (GHBSN)

description: This repository contains raw waveform data and receiver functions (RFs) following the procedures described in the submitted manuscript.

The waveform data are provided as compressed files named NNN-NNN.tar. When decompressed, each archive creates a directory named data_yyyymmddhhmmss, where the suffix indicates the origin time of the corresponding earthquake. Similarly, RFs are distributed as compressed files named RFs_N000_N000.tar. Decompressing these files produces directories named after the corresponding station codes. Each directory contains the RF files. These files follow the naming convention N000.yyyy.ddd.hh.mm.ss_P_X.sac, where N000 is the station code; yyyy.ddd.hh.mm.ss represents the origin time of the earthquake (with ddd being the Julian day); P indicates the phase; X specifies the horizontal component used for RF calculation; .sac is the file format, following the Seismic Analysis Code (SAC) standard (https://ds.iris.edu/files/sac-manual/manual/file_format.html).

As an example, 20210217224938.NS.N081.HHZ.sac refers to a raw waveform recorded at station N081 (part of the NS network, corresponding to GHBSN) on channel HHZ. Similarly, N064.2019.083.04.37.35_P_R.sac refers to a radial RF for station N064, calculated from an earthquake that occurred on the 83rd Julian day of 2019.

Note: The raw horizontal components are not properly oriented to true north and east. Users must apply the orientation correction procedures described in the submitted article before further analysis. Station coordinates are included in the SAC file headers and also provided in the Supporting Information of the submitted manuscript. Earthquake locations and magnitudes are likewise stored in the SAC headers.

This repository provides the full dataset used in Kim et al. (2026). 

Minkyung Kim, Hobin Lim, YoungHee Kim, Junkee Rhie, Tae-Seob Kang, Kwang-Hee Kim, Jin-Han Ree, High-resolution P receiver function imaging of seismic crustal structure in the southeastern Korean Peninsula: Implications for deformation associated with Miocene backarc extension, Geophysical Journal International, 2026;, ggag030, https://doi.org/10.1093/gji/ggag030
DOI: 10.15468/dl.vcv77z
title: Occurrence Download

description: A dataset containing 1447444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "GadmGid is USA.5.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata",
 "Year 2024-2024"
 ]
}

 The dataset includes 1447444 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010692-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjb6bt
title: Occurrence Download

description: A dataset containing 1716 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dipodomys nelsoni"
 ]
}

 The dataset includes 1716 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010726-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18476516
title: odor–shock avoidance behavior
DOI: 10.5281/zenodo.18476515
title: odor–shock avoidance behavior
DOI: 10.15468/dl.ammqws
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Tachypleus tridentatus, Ibacus ciliatus, Anguilla japonica, Scomberomorus commerson, Setipinna tenuifilis, Sardinella lemuru, Saurida wanieso, Protosalanx chinensis, Scomberomorus niphonius, Trachurus japonicus, Acanthopagrus latus, Epinephelus bruneus, Epinephelus bleekeri, Epinephelus awoara, Choerodon schoenleinii, Hippocampus spinosissimus, Pegasus volitans, Takifugu ocellatus, Zeus faber, Carcharhinus sorrah, Mustelus manazo, Proscyllium habereri, Sphyrna lewini, Chimaera phantasma, Hydrolagus mitsukurii, Heptranchias perlo, Gymnura japonica, Hemitrygon akajei, Himantura uarnak, Urolophus aurantiacus, Chiloscyllium plagiosum, Dipturus kwangtungensis, Okamejeia cutispina, Okamejei kenojei, Squalus japonicus, Narke japonica, Platyrhina sinensis, Globicephala macrorhynchus, Pseudorca crassidens, Tursiops truncatus, Sousa chinensis, Megaptera novaeangliae, Neophocaena phocaenoides, Physeter macrocephalus, Eptatretus burgeri, Emydocephalus ijimae, Laticauda laticaudata, Limnodromus semipalmatus, Calidris ferruginea, Calidris pygmaea, Calidris ruficollis, Calidris tenuirostris, Limosa lapponica, Limosa limosa, Numenius arquata, Numenius madagascariensis, Tringa brevipes, Tringa guttifer, Synthliboramphus wumizusume, Onychoprion aleuticus, Thalasseus bernsteini, Rissa tridactyla, Vanellus vanellus, Grus japonensis, Pelecanus crispus, Egretta eulophotes, Platalea minor, Aythya ferina, Ciconia boyciana, Calonectris leucomelas, Phoca largha, Balaenoptera brydei, Chelonia mydas, Eretmochelys imbricata, Lepidochelys olivacea, Dermochelys coriacea, Caretta caretta, Dugong dugon, Astreopora myriophthalma, Montipora hispida, Montipora monasteriata, Ctenactis echinata, Lithophyllon undulatum, Oulophyllia crispa, Pavona decussata, Leptoseris mycetoseroides, Pachyseris speciosa, Hydnophora exesa, Leptastrea purpurea, Mycediumel ephantotus, Stylocoeniella guentheri, Turbinaria mesenterina, Heliopora coerulea, Stichopus horrens, Tridacna maxima, Metasepia tullbergi, Sepia esculenta, Sepia pharaonis, Euprymna berryi, Euprymna morsei)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010729-260129131611470/datasets/export for details.
DOI: 10.15468/dl.9gn5se
title: Occurrence Download

description: A dataset containing 4016 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Neotoma albigula"
 ]
}

 The dataset includes 4016 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010730-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rfrrhw
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Squaliformes, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.630957 19.966667,110.78571 19.966667,110.78571 21.783333,109.630957 21.783333,109.630957 19.966667))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010731-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18473329
title: Literatursearch and -review_IoT im Weinbau

description: This upload contains a literature search as well as a literatur review regarding the bachelors thesis "IoT im Weinbau" by Nicolas Roithinger.
DOI: 10.5281/zenodo.18473330
title: Literatursearch and -review_IoT im Weinbau

description: This upload contains a literature search as well as a literatur review regarding the bachelors thesis "IoT im Weinbau" by Nicolas Roithinger.