cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.967433
title: Dissolved organic carbon concentration of Lena River water from 11.04.2019 (#79) to 23.08.2021 (#487)

description: We collected water samples from the river surface in the center of the Olenekskaya Channel near Samoylov Island using a pre-rinsed HDPE 1 L bottle. During the open water period (June to October), water was sampled from a small boat, and during ice-covered period (November to May), through a hole drilled through the river ice. Some samples during the river ice break-up (between May and June) as well as some samples during the ice freeze-up in October were taken from the shore due to the inaccessibility of a more centered location on the river channel. For DOC, the sample was filtered through a 0.45 μm cellulose acetate filter which had been rinsed with 20 mL sample water. DOC samples were filled into a pre-rinsed 20 mL glass vial and acidified with 25 μL HCl Suprapur (10 M) and stored in the dark at 4°C. After transport, DOC samples were analyzed at the Alfred Wegener Institute Helmholtz Center for Polar and Marine Research (AWI), Potsdam, Germany. DOC concentrations were analyzed using high temperature catalytic oxidation (TOC-VCPH, Shimadzu). Three replicate measurements of each sample were averaged. After every ten samples, a blank (Milli-Q water) and a standard was measured. Eight different commercially available certified standards covered a range between 0.49 mg/L (DWNSVW-15) and 100 mg/L (Std. US-QC). The results of standards provided an accuracy better than ± 5%.
DOI: 10.1594/pangaea.967437
title: Dissolved organic carbon and total dissolved nitrogen concentration of Lena River water from 26.08.2021 (#488) to 16.08.2022 (#612)

description: We collected water samples from the river surface in the center of the Olenekskaya Channel near Samoylov Island using a pre-rinsed HDPE 1 L bottle. During the open water period (June to October), water was sampled from a small boat, and during ice-covered period (November to May), through a hole drilled through the river ice. Some samples during the river ice break-up (between May and June) as well as some samples during the ice freeze-up in October were taken from the shore due to the inaccessibility of a more centered location on the river channel. For DOC and TDN, the sample was filtered through a 0.45 μm cellulose acetate filter which had been rinsed with 20 mL sample water. Samples were filled into a pre-rinsed 20 mL glass vial and acidified with 25 μL HCl Suprapur (10 M) and stored in the dark at 4°C. After transport, samples were analyzed at Lomonosov Moscow State University in Moscow, Russia (MSU). DOC and TDN concentrations were analyzed using a TOPAZ NC manufactured by Informanalitika LLC (Russia). For analysis, ISO 11905-2:1997 for nitrogen and ISO 8245:1999 for carbon was followed. Three replicate measurements of each sample were averaged and three standards (5,15, and 100 mg L-1) as well as blanks (Milli-Q water) were used to ensure high accuracy of the measurements.
DOI: 10.1594/pangaea.967438
title: Silicon isotope composition and Ge/Si ratio of Lena River water from 20.04.2018 (#1) to 28.03.2019 (#77)

description: We collected water samples from the river surface in the center of the Olenekskaya Channel near Samoylov Island using a pre-rinsed HDPE 1 L bottle. During the open water period (June to October), water was sampled from a small boat, and during ice-covered period (November to May), through a hole drilled through the river ice. Some samples during the river ice break-up (between May and June) as well as some samples during the ice freeze-up in October were taken from the shore due to the inaccessibility of a more centered location on the river channel. Water samples were filtered through a 0.45 μm cellulose acetate filter (which had been rinsed with 20 ml sample water) for Ge concentration and Si isotope composition measurements. The Ge concentration was determined by ICP-mass spectrometry (ICP-MS, ICAPQ Thermo Fisher Scientific, Earth & Life Institute, UCLouvain, Belgium). The detection limit for Ge is 0.04 nM and the analytical precision of the measurement is ± 8% for Ge concentrations &lt; 0.013 nM and ± 4% for Ge concentrations &gt; 0.013 nM. The germanium to silicon ratio was calculated using the silicon concentration available form Juhls et al 2020 (https://doi.org/10.1594/PANGAEA.913197). The standard deviation (SD) on Ge/Si ratio determination is 10%. The silicon isotope composition (δ30Si) was analyzed by MC-ICP-MS (Neptune Plus™ High Resolution Multicollector ICP-MS, Thermo Fisher Scientific, Earth & Life Institute, UCLouvain, Belgium) in wet plasma mode after Si separation using a two-stages column chemistry procedure using an anion exchange resin (Biorad AG MP-1) followed by a cation exchange resin (Biorad AG50W-X12). The instrumental mass bias was corrected using the standard-sample bracketing technique and an external Mg doping. The δ30Si compositions are expressed in relative deviations of 30Si/28Si ratio from the NBS-28 reference standard using the δ-notation (‰) as follows: δ30Si = [(30Si/28Si)sample/(30Si/28Si)NBS-28 -1] × 1000. Each single δ-value represents one sample run and two bracketing standards. The δ30Si values are reported as the mean of isotopic analyses from multiple analytical sessions at least in duplicate (± SD).
DOI: 10.15468/dl.tcgvan
title: Occurrence Download

description: A dataset containing 287 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontotermes formosanus (Shiraki, 1909)"
 ]
}

 The dataset includes 287 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021767-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8k6y7w
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lophiomus litulon Jordan, 1902",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021768-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhurbu
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Metapenaeopsis dalei (M.J.Rathbun, 1902)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 178 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021769-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83b3qp
title: Occurrence Download

description: A dataset containing 211516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 211516 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021758-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60797/irj.2025.154.120.2
title: Частота встречаемости нарушений сна у слабослышащих школьников

description: Международный научно-исследовательский журнал, Выпуск 4 (154) 2025
DOI: 10.60797/irj.2025.154.120.3
title: Частота встречаемости головной боли у слабослышащих школьников

description: Международный научно-исследовательский журнал, Выпуск 4 (154) 2025
DOI: 10.60797/irj.2025.154.120.4
title: Частота встречаемости интернет зависимости у слабослышащих школьников

description: Международный научно-исследовательский журнал, Выпуск 4 (154) 2025
DOI: 10.60797/jae.2025.56.2.1
title: Таксационная характеристика пробных площадей

description: Journal of Agriculture and Environment, Выпуск 4 (56) 2025
DOI: 10.60797/jae.2025.56.2.2
title: Значение коэффициентов корреляции между неиндексированными хронологиями по ширине годичного кольца (ш.г.к.), по поздней древесине (п.) и по ранней древесине (р.)

description: Journal of Agriculture and Environment, Выпуск 4 (56) 2025
DOI: 10.60797/jae.2025.56.2.7
title: Значение коэффициентов корреляции между индексированными хронологиями по ранней древесине (р), по поздней древесине (п) и по общей ширине годичного кольца (ш.г.к.)

description: Journal of Agriculture and Environment, Выпуск 4 (56) 2025
DOI: 10.5281/zenodo.15015398
title: KASBIY KOMPETENTLIKNI SHAKLLANTIRISHDA PSIXOLOGIK XIZMAT KO'RSATISHNING O'ZIGA XOS XUSUSIYATLARI
DOI: 10.5281/zenodo.15015399
title: KASBIY KOMPETENTLIKNI SHAKLLANTIRISHDA PSIXOLOGIK XIZMAT KO'RSATISHNING O'ZIGA XOS XUSUSIYATLARI
DOI: 10.5281/zenodo.15015392
title: The Role of KN in Quantum Information and Holography
DOI: 10.5281/zenodo.15015393
title: The Role of KN in Quantum Information and Holography
DOI: 10.5281/zenodo.15015406
title: USAGE OF MODAL VERBS IN CHINESE
DOI: 10.5281/zenodo.15015407
title: USAGE OF MODAL VERBS IN CHINESE
DOI: 10.15468/dl.v2nd38
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crematogaster obscurata Emery, 1895",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 191 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005974-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j67kzs
title: Occurrence Download

description: A dataset containing 154694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus rubra L.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 154694 records from 764 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005962-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rt78nr
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((41.88730 31.56025,104.11270 31.56025,104.11270 56.43975,41.88730 56.43975,41.88730 31.56025))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anabasis eriopoda (C.A.Mey.) Benth. ex Volkens"
 ]
}

 The dataset includes 31 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005975-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqksan
title: Occurrence Download

description: A dataset containing 31729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhodiola rosea L.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 31729 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005976-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfbpkq
title: Occurrence Download

description: A dataset containing 1181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypoponera opaciceps (Mayr, 1887)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1181 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005977-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v93r7m
title: Occurrence Download

description: A dataset containing 210994 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hylaeus Fabricius, 1793"
 ]
}

 The dataset includes 210994 records from 539 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005966-250310093411724/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.28582289
title: circRNA and mRNA transcriptome sequencing data from OVA-induced mouse lung tissue

description: <b>Chronic Allergic Pulmonary Inflammation Model</b>The male C57BL/6J mice utilized in this study were six weeks old, weighed 22±2 grams.The mice were allocated into four distinct groups, each consisting of six animals: the control group, the asthma group, the exercise group, and the asthma + exercise group. The asthma group and asthma+ exercise group were administered aluminum hydroxide-diluted OVA at a dose of 10 μg per mouse via intraperitoneal injection on days 0, 14, 28, and 42, following a previously established protocol. From day 21 to day 54, the mice in these groups were exposed to a 1% OVA aerosol for 30 minutes, three times per week. In contrast, the mice in the control group and the exercise group were exposed to saline under the same conditions. Mice are anesthetized with 1% pentobarbital sodium via intraperitoneal injection. Euthanasia is performed by tail vein injection of a 3% pentobarbital sodium solution.<b>RNA Sequencing</b>Shanghai Biotechnology Corporation conducted the RNA microarray analysis. Total RNA was extracted from the lung tissues of three OVA-induced mice and three healthy control mice via the RNeasy Mini Kit (Qiagen). For RNA-seq, strand-specific libraries were prepared via the TruSeq Stranded Total RNA Sample Preparation Kit (Illumina). the samples were quantified via a Qubit 2.0 fluorometer (Life Technologies), and the insert size was verified via a 2100 Bioanalyzer (Agilent). Following the dilution of the library to 10 pM, clustering was achieved via cBot, and sequencing was conducted on the Illumina NovaSeq 6000 platform. Shanghai Biotechnology Corporation was responsible for both library construction and sequencing.
DOI: 10.6084/m9.figshare.28582289.v1
title: circRNA AND mRNA in the lung tissue

description: <b>Chronic Allergic Pulmonary Inflammation Model</b>The male C57BL/6J mice utilized in this study were six weeks old, weighed 22±2 grams.The mice were allocated into four distinct groups, each consisting of six animals: the control group, the asthma group, the exercise group, and the asthma + exercise group. The asthma group and asthma+ exercise group were administered aluminum hydroxide-diluted OVA at a dose of 10 μg per mouse via intraperitoneal injection on days 0, 14, 28, and 42, following a previously established protocol. From day 21 to day 54, the mice in these groups were exposed to a 1% OVA aerosol for 30 minutes, three times per week. In contrast, the mice in the control group and the exercise group were exposed to saline under the same conditions. Mice are anesthetized with 1% pentobarbital sodium via intraperitoneal injection. Euthanasia is performed by tail vein injection of a 3% pentobarbital sodium solution.<b>RNA Sequencing</b>Shanghai Biotechnology Corporation conducted the RNA microarray analysis. Total RNA was extracted from the lung tissues of three OVA-induced mice and three healthy control mice via the RNeasy Mini Kit (Qiagen). For RNA-seq, strand-specific libraries were prepared via the TruSeq Stranded Total RNA Sample Preparation Kit (Illumina). the samples were quantified via a Qubit 2.0 fluorometer (Life Technologies), and the insert size was verified via a 2100 Bioanalyzer (Agilent). Following the dilution of the library to 10 pM, clustering was achieved via cBot, and sequencing was conducted on the Illumina NovaSeq 6000 platform. Shanghai Biotechnology Corporation was responsible for both library construction and sequencing.
DOI: 10.57967/hf/4812
title: Comprehensive_Feature_Extraction_DDoS_Datasets
DOI: 10.15468/dl.t8hvmr
title: Occurrence Download

description: A dataset containing 8344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-82.60678 34.68305,-82.25947 34.68305,-82.1319 34.68305,-82.1319 35.00547,-82.31667 35.00547,-82.60678 35.00547,-82.60678 34.68305))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is VU",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 8344 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005978-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1089021.10fu
title: SH1089021.10FU

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/sh1089024.10fu
title: SH1089024.10FU

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/sh1089027.10fu
title: SH1089027.10FU

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/sh1089028.10fu
title: SH1089028.10FU

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/sh1089029.10fu
title: SH1089029.10FU

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: 10.13140/rg.2.1.4897.3925
title: สรุปความเห็นต่อแนวคิดด้านการพัฒนาพื้นที่เพื่อจัดทำแผนพัฒนาเศรษฐกิจและสังคมแห่งชาติฉบับที่ 12 (พ.ศ.2559-2563)(Critique on Spatial Concepts for Formulating the 12 National Economic and Social Development Plan (2016-2020) (in Thai)
DOI: 10.15468/dl.kstm8k
title: Occurrence Download

description: A dataset containing 68467 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Silybum marianum (L.) Gaertn."
 ]
}

 The dataset includes 68467 records from 1109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012396-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hh67kd
title: Occurrence Download

description: A dataset containing 420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "TaxonKey is Prunus persica (L.) Stokes"
 ]
}

 The dataset includes 420 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0106408-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.