cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tag99a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tinamiformes)",
 "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((50 -50,60 -50,60 -40,50 -40,50 -50))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017950-251009101135966/datasets/export for details.
DOI: 10.15468/dl.3gh9xs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Casuariiformes)",
 "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((-110 -70,-100 -70,-100 -60,-110 -60,-110 -70))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017953-251009101135966/datasets/export for details.
DOI: 10.15468/dl.2w76qe
title: Occurrence Download

description: A dataset containing 8679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Drymaria cordata, Drymaria cordata, Drymaria cordata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8679 records from 319 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017954-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcxt2p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tinamiformes)",
 "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 -50,70 -50,70 -40,60 -40,60 -50))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017952-251009101135966/datasets/export for details.
DOI: 10.15468/dl.2ee9vn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Casuariiformes)",
 "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((-100 -70,-90 -70,-90 -60,-100 -60,-100 -70))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017951-251009101135966/datasets/export for details.
DOI: 10.15468/dl.229zyz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tinamiformes)",
 "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((70 -50,80 -50,80 -40,70 -40,70 -50))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017955-251009101135966/datasets/export for details.
DOI: 10.34740/kaggle/dsv/13379733
title: World Weather Repository ( Daily Updating )
DOI: 10.15468/dl.fn3wkg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithobius obscurus",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017957-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tvwst
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tinamiformes)",
 "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((80 -50,90 -50,90 -40,80 -40,80 -50))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017959-251009101135966/datasets/export for details.
DOI: 10.15468/dl.8pufud
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Calamagrostis chalybaea (Laest.) Fr.",
 "Country is Norway",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017962-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pw34ke
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Casuariiformes)",
 "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((-120 -70,-110 -70,-110 -60,-120 -60,-120 -70))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017958-251009101135966/datasets/export for details.
DOI: 10.15468/dl.fwabrs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Casuariiformes)",
 "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((-130 -70,-120 -70,-120 -60,-130 -60,-130 -70))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017960-251009101135966/datasets/export for details.
DOI: 10.15468/dl.bb4zt3
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Carex holostoma Drejer",
 "Country is Norway",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 150 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017963-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hkuhrz
title: Occurrence Download

description: A dataset containing 937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Cinna latifolia (Trevir. ex Göpp.) Griseb.",
 "Country is Norway",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 937 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017964-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnewf8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tinamiformes)",
 "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((90 -50,100 -50,100 -40,90 -40,90 -50))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017965-251009101135966/datasets/export for details.
DOI: 10.15468/dl.hps923
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Casuariiformes)",
 "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((-140 -70,-130 -70,-130 -60,-140 -60,-140 -70))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017967-251009101135966/datasets/export for details.
DOI: 10.15468/dl.2tzmqn
title: Occurrence Download

description: A dataset containing 21345 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Luzula pallescens"
 ]
}

 The dataset includes 21345 records from 275 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017968-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/iw73uu/jyeofr
title: JAR_hour.csv

description: Uploaded with pyDataverse 2024-04-11 14:46
DOI: 10.22008/fk2/iw73uu/ox6s07
title: JAR_day.csv

description: Uploaded with pyDataverse 2024-04-11 14:46
DOI: 10.15468/dl.q5d5dg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Draba oxycarpa)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024992-260208012135463/datasets/export for details.
DOI: 10.22008/fk2/iw73uu/b2iujb
title: JAR_month.csv

description: Uploaded with pyDataverse 2024-04-11 14:46
DOI: 10.15468/dl.gut68z
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camptorhynchus labradorius"
 ]
}

 The dataset includes 51 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024991-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/iw73uu/lbs9xx
title: JAR_hour.nc

description: Uploaded with pyDataverse 2024-04-11 14:46
DOI: 10.22008/fk2/iw73uu/pdqhrs
title: JAR_day.nc

description: Uploaded with pyDataverse 2024-04-11 14:46
DOI: 10.22008/fk2/iw73uu/ltarde
title: JAR_month.nc

description: Uploaded with pyDataverse 2024-04-11 14:47
DOI: 10.22008/fk2/iw73uu/atrcey
title: JAR_O_day.csv

description: Uploaded with pyDataverse 2024-04-11 14:47
DOI: 10.22008/fk2/iw73uu/5iugtx
title: JAR_O_hour.csv

description: Uploaded with pyDataverse 2024-04-11 14:47
DOI: 10.22008/fk2/iw73uu/sgv5u8
title: JAR_O_month.csv

description: Uploaded with pyDataverse 2024-04-11 14:47
DOI: 10.22008/fk2/iw73uu/vvhbby
title: JAR_O_hour.nc

description: Uploaded with pyDataverse 2024-04-11 14:47
DOI: 10.15482/usda.adc/31258642
title: Data from: Combination of serial plating and long-read sequencing to detect and quantify live Shiga-toxin producing <i>Escherichia coli</i>

description: Consumption of food contaminated with Shiga toxin-producing <i>Escherichia coli</i> (STEC) causes millions of illnesses in the United States annually. Long-read sequencing could be used to reduce the time needed to test food for STEC, but sequencing is not quantitative and cannot differentiate between live and dead bacteria. Therefore, this study investigated combining serial plating with long-read sequencing to quantify only live STEC in a sample. Ground beef was inoculated with STEC and stomached. The liquid was filtered to remove eukaryotic cells and then centrifuged to pellet the bacteria. Serial dilutions of the pellet were plated on selective agar and then single colonies were selected for sequencing. During initial experiments where sample processing was conducted at room temperature, a 1 log increase in STEC concentration from the initial inoculated amount was observed. Subsequent experiments kept samples and reagents cold, and the amount of STEC recovered did not significantly differ from the amount inoculated. The DNA extracted from a single colony provided enough data to identify all virulence genes of interest multiple times. The amount of STEC in a sample could be quantified down to 1 cfu g<sup>-1</sup>. The ability of this method to quantify STEC in samples would improve risk assessment and guide mitigation in industry.
DOI: 10.15482/usda.adc/31258642.v1
title: Data from: Combination of serial plating and long-read sequencing to detect and quantify live Shiga-toxin producing <i>Escherichia coli</i>

description: Consumption of food contaminated with Shiga toxin-producing <i>Escherichia coli</i> (STEC) causes millions of illnesses in the United States annually. Long-read sequencing could be used to reduce the time needed to test food for STEC, but sequencing is not quantitative and cannot differentiate between live and dead bacteria. Therefore, this study investigated combining serial plating with long-read sequencing to quantify only live STEC in a sample. Ground beef was inoculated with STEC and stomached. The liquid was filtered to remove eukaryotic cells and then centrifuged to pellet the bacteria. Serial dilutions of the pellet were plated on selective agar and then single colonies were selected for sequencing. During initial experiments where sample processing was conducted at room temperature, a 1 log increase in STEC concentration from the initial inoculated amount was observed. Subsequent experiments kept samples and reagents cold, and the amount of STEC recovered did not significantly differ from the amount inoculated. The DNA extracted from a single colony provided enough data to identify all virulence genes of interest multiple times. The amount of STEC in a sample could be quantified down to 1 cfu g<sup>-1</sup>. The ability of this method to quantify STEC in samples would improve risk assessment and guide mitigation in industry.
DOI: 10.22008/fk2/iw73uu/xj45f3
title: JAR_O_day.nc

description: Uploaded with pyDataverse 2024-04-11 14:47
DOI: 10.22008/fk2/iw73uu/8imxsr
title: JAR_O_month.nc

description: Uploaded with pyDataverse 2024-04-11 14:47
DOI: 10.22008/fk2/iw73uu/v534ep
title: KAN_B_day.csv

description: Uploaded with pyDataverse 2024-04-11 14:48
DOI: 10.22008/fk2/iw73uu/adawpe
title: KAN_B_hour.csv

description: Uploaded with pyDataverse 2024-04-11 14:48
DOI: 10.22008/fk2/iw73uu/o1oz10
title: KAN_B_month.csv

description: Uploaded with pyDataverse 2024-04-11 14:48
DOI: 10.22008/fk2/iw73uu/c6sqix
title: KAN_B_hour.nc

description: Uploaded with pyDataverse 2024-04-11 14:48
DOI: 10.22008/fk2/iw73uu/kuyub6
title: KAN_B_day.nc

description: Uploaded with pyDataverse 2024-04-11 14:48
DOI: 10.22008/fk2/iw73uu/xsr9cn
title: KAN_B_month.nc

description: Uploaded with pyDataverse 2024-04-11 14:48
DOI: 10.22008/fk2/iw73uu/2mgnsg
title: KAN_L_hour.csv

description: Uploaded with pyDataverse 2024-04-11 14:49
DOI: 10.22008/fk2/iw73uu/ixwnxt
title: KAN_L_day.csv

description: Uploaded with pyDataverse 2024-04-11 14:48
DOI: 10.17630/92155136-9404-4844-a958-5de1e1af2c66
title: Data underpinning - In-Situ Thermal Battery Discharge using NiS2 as a Cathode Material

description: Diffraction data
DOI: 10.60797/irj.2026.164.72.2
title: Значения IC50 (мкм) цитотоксического эффекта конденсированных соединений ряда бензимидазола

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.74.1
title: Сравнительный анализ клинических, визуализационных и лабораторных параметров в стратифицированных группах

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.75.1
title: Результаты корреляционного и регрессионного анализа

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.60797/irj.2026.164.73.8
title: Study group "Ecoflon," Subgroups with Coating and without Coating

description: Международный научно-исследовательский журнал, Выпуск 2 (164) 2026
DOI: 10.15156/bio/sh1399826.10fu
title: SH1399826.10FU

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/sh1399827.10fu
title: SH1399827.10FU

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/sh1399828.10fu
title: SH1399828.10FU

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/sh1399829.10fu
title: SH1399829.10FU

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/sh1399830.10fu
title: SH1399830.10FU

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/sh1399832.10fu
title: SH1399832.10FU

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.