cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0215015.10fu
title: SH0215015.10FU

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/sh0215016.10fu
title: SH0215016.10FU

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/sh0215017.10fu
title: SH0215017.10FU

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/sh0215018.10fu
title: SH0215018.10FU

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/sh0215019.10fu
title: SH0215019.10FU

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/sh0215020.10fu
title: SH0215020.10FU

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.vk8rh6
title: Occurrence Download

description: A dataset containing 25053 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.15_1",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 25053 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072393-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8u3h2
title: Occurrence Download

description: A dataset containing 4990 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phylloscopus proregulus)",
 "Country is one of (Philippines, Korea, Republic of, Japan, China, Chinese Taipei, Thailand, Viet Nam, Cambodia, Lao People’s Democratic Republic, Mongolia, Myanmar)",
 "Month is one of (May, June, July)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2024",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Observation)"
 ]
}

 The dataset includes 4990 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072394-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3ghte
title: Occurrence Download

description: A dataset containing 3312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bambusa vulgaris)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3312 records from 165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072396-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycncgn
title: Occurrence Download

description: A dataset containing 1713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bothriochloa bladhii)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1713 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072397-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtk9wu
title: Occurrence Download

description: A dataset containing 8570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Troglodytes troglodytes)",
 "Country is one of (Philippines, Korea, Republic of, Japan, China, Chinese Taipei, Thailand, Viet Nam, Cambodia, Lao People’s Democratic Republic, Mongolia, Myanmar)",
 "Month is one of (May, June, July)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2024",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Observation)"
 ]
}

 The dataset includes 8570 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072398-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18081717
title: Integrating Large Language Model and Disaster Knowledge Graph for Multi-Source Disaster Information Aggregation

description: social media data for paper Integrating Large Language Model and Disaster Knowledge Graph for Multi-Source Disaster Information Aggregation
DOI: 10.15468/dl.deaqvr
title: Occurrence Download

description: A dataset containing 3768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Luscinia cyane)",
 "Country is one of (Philippines, Korea, Republic of, Japan, China, Chinese Taipei, Thailand, Viet Nam, Cambodia, Lao People’s Democratic Republic, Mongolia, Myanmar)",
 "Month is one of (May, June, July)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2024",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Observation)"
 ]
}

 The dataset includes 3768 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072399-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzh8kd
title: Occurrence Download

description: A dataset containing 3111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bothriochloa pertusa)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3111 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072400-251120083545085/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.30995032
title: Woody plant expansion intensified the positive effect of plant diversity on MAOC, but weakened on POC and DOC

description: Woody plant expansion intensified the positive effect of plant diversity on MAOC, but weakened on POC and DOC
DOI: 10.6084/m9.figshare.30995032.v1
title: Woody plant expansion intensified the positive effect of plant diversity on MAOC, but weakened on POC and DOC

description: Woody plant expansion intensified the positive effect of plant diversity on MAOC, but weakened on POC and DOC
DOI: 10.34740/kaggle/dsv/14387367
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.yy3wuk
title: Occurrence Download

description: A dataset containing 23961 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Briza minor)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23961 records from 552 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072405-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjj64g
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Ambystoma mexicanum"
 ]
}

 The dataset includes 511 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072406-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18041959
title: Implementasi Profesionalisme Guru Dalam Pembelajaran Diniyah: Studi Pada Pesantren Dengan Minim Fasilitas

description: Penelitian ini bertujuan untuk menggambarkan bagaimana guru menerapkan profesionalisme mereka dalam pembelajaran Diniyah di pesantren yg masih menghadapi keterbatasan sarana dan prasarana. Minimnya fasilitas sering kali menjadi tantangan bagi pesantren, terutama dalam upaya memberikan layanan pendidikan yang bermutu. Namun demikian, banyak pesantren tetap mampu menjalankan proses pembelajaran secara efektif melalui komitmen, kreativitas, dan kompetensi para guru. Penelitian ini menggunakan pendekatan kualitatif deskriptif dengan melibatkan guru, santri dan pengelola pesantren sebagai informan utama. Data dikumpulkan melalui observasi langsung dilingkungan pesantren. Hasil penelitian menunjukkan bahwa guru mampu menerapkan profesionalisme secara konsisten melalui penguasaan materi, keteladanan, kemampuan mengelola kelas dan kemampuan beradaptasi dengan kondisi fasilitas yang terbatas. Guru memaksimalkan metode tradisional seperti sorogan, bandongan,musyawarah kitab dan hafalan terstruktur sebagai strategi utama dalam mentransmisikan ilmu keagamaan. Meskipun keterbatasan fasilitas menghambat penggunaan media pembelajaran modern, tingkat pemahaman santri tetap terjaga karena tingginya intensitas interaksi guru− santri dan kuatnya budaya belajar di pesantren. Penelitian ini menyatakan secara inklusif bahwa profesionalisme guru tidak hanya ditentukan oleh kelengkapan fasilitas, melainkan oleh komitmen moral, kualitas interaksi, dan kekuatan tradisi pendidikan pesantren. Temuan ini diharapkan dapat menjadi rujukan bagi pengelola pesantren dan praktisi pendidikan dalam meningkatkan kualitas pembelajaran Diniyah, khususnya pada lembaga pendidikan dengan kondisi sarana yang terbatas.
DOI: 10.5281/zenodo.18041958
title: Implementasi Profesionalisme Guru Dalam Pembelajaran Diniyah: Studi Pada Pesantren Dengan Minim Fasilitas

description: Penelitian ini bertujuan untuk menggambarkan bagaimana guru menerapkan profesionalisme mereka dalam pembelajaran Diniyah di pesantren yg masih menghadapi keterbatasan sarana dan prasarana. Minimnya fasilitas sering kali menjadi tantangan bagi pesantren, terutama dalam upaya memberikan layanan pendidikan yang bermutu. Namun demikian, banyak pesantren tetap mampu menjalankan proses pembelajaran secara efektif melalui komitmen, kreativitas, dan kompetensi para guru. Penelitian ini menggunakan pendekatan kualitatif deskriptif dengan melibatkan guru, santri dan pengelola pesantren sebagai informan utama. Data dikumpulkan melalui observasi langsung dilingkungan pesantren. Hasil penelitian menunjukkan bahwa guru mampu menerapkan profesionalisme secara konsisten melalui penguasaan materi, keteladanan, kemampuan mengelola kelas dan kemampuan beradaptasi dengan kondisi fasilitas yang terbatas. Guru memaksimalkan metode tradisional seperti sorogan, bandongan,musyawarah kitab dan hafalan terstruktur sebagai strategi utama dalam mentransmisikan ilmu keagamaan. Meskipun keterbatasan fasilitas menghambat penggunaan media pembelajaran modern, tingkat pemahaman santri tetap terjaga karena tingginya intensitas interaksi guru− santri dan kuatnya budaya belajar di pesantren. Penelitian ini menyatakan secara inklusif bahwa profesionalisme guru tidak hanya ditentukan oleh kelengkapan fasilitas, melainkan oleh komitmen moral, kualitas interaksi, dan kekuatan tradisi pendidikan pesantren. Temuan ini diharapkan dapat menjadi rujukan bagi pengelola pesantren dan praktisi pendidikan dalam meningkatkan kualitas pembelajaran Diniyah, khususnya pada lembaga pendidikan dengan kondisi sarana yang terbatas.
DOI: 10.5281/zenodo.18143427
title: From Uncertainty Assessment to Probability Forecasting for Channelized Debris Flood

description: This dataset supports the manuscript "From Uncertainty Assessment to Probability Forecasting for Channelized Debris Flood" and contains the primary monitoring data and modelling results used to analyze the uncertainty associated with debris flood forecasting during the physical process.Data Files Description1.    Rainfall events of debris flood and floodDescription: This file provides the field monitoring data for seven debris flood events from 2014 to 2022. The core data consists of rainfall event duration (D, h), total rainfall (R, mm), and peak rainfall intensity (Imax, mm/h) recorded at the outlet of W-1.2.    Results of selection scenarios and model parameterDescription: This file contains the final outputs from the framework proposed in this study. It provides all the results of possible selection scenarios and model parameters through the physical process, with a focus on rainfall patterns, hydrological model parameters, and sediment-related parameters critical to debris flood formation. 3.    The probability of runoff thresholdsDescription: This file contains the probability of runoff thresholds associated with different of scenarios and model parameters. Data Format•    All files are in CSV (Comma-Separated Values) format.•    Timestamps are in China Standard Time (CST, UTC+8).
DOI: 10.5281/zenodo.18143426
title: From Uncertainty Assessment to Probability Forecasting for Channelized Debris Flood

description: This dataset supports the manuscript "From Uncertainty Assessment to Probability Forecasting for Channelized Debris Flood" and contains the primary monitoring data and modelling results used to analyze the uncertainty associated with debris flood forecasting during the physical process.Data Files Description1.    Rainfall events of debris flood and floodDescription: This file provides the field monitoring data for seven debris flood events from 2014 to 2022. The core data consists of rainfall event duration (D, h), total rainfall (R, mm), and peak rainfall intensity (Imax, mm/h) recorded at the outlet of W-1.2.    Results of selection scenarios and model parameterDescription: This file contains the final outputs from the framework proposed in this study. It provides all the results of possible selection scenarios and model parameters through the physical process, with a focus on rainfall patterns, hydrological model parameters, and sediment-related parameters critical to debris flood formation. 3.    The probability of runoff thresholdsDescription: This file contains the probability of runoff thresholds associated with different of scenarios and model parameters. Data Format•    All files are in CSV (Comma-Separated Values) format.•    Timestamps are in China Standard Time (CST, UTC+8).
DOI: 10.15468/dl.nse6aq
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bromus cebadilla)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 184 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072407-251120083545085/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.30995047
title: EEG and fMRI signals during REM Sleep

description: This dataset contains self-reported dream data collected from <b>10,000 participants</b>.The dataset is provided in <b>CSV format</b> and includes structured responses related to dream content, emotional tone, frequency, and subjective interpretations.The data can be used for research in <b>psychology, cognitive science, sleep studies, mental health analysis, and machine learning applications such as NLP and pattern analysis</b>.All data has been anonymized and does not contain personally identifiable information.This dataset is intended for <b>academic research and educational purposes</b>.
DOI: 10.6084/m9.figshare.30995047.v1
title: EEG and fMRI signals during REM Sleep

description: This dataset contains self-reported dream data collected from <b>10,000 participants</b>.The dataset is provided in <b>CSV format</b> and includes structured responses related to dream content, emotional tone, frequency, and subjective interpretations.The data can be used for research in <b>psychology, cognitive science, sleep studies, mental health analysis, and machine learning applications such as NLP and pattern analysis</b>.All data has been anonymized and does not contain personally identifiable information.This dataset is intended for <b>academic research and educational purposes</b>.
DOI: 10.15468/dl.4426yz
title: Occurrence Download

description: A dataset containing 51312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Briza maxima)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 51312 records from 467 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072401-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vb6zz7
title: Occurrence Download

description: A dataset containing 274602 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Briza media)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 274602 records from 1551 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072402-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aiopbz
title: Occurrence Download

description: A dataset containing 3274 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calliphora vomitoria (Linnaeus, 1758)"
 ]
}

 The dataset includes 3274 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042720-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.