cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1207228.10fu
title: SH1207228.10FU

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/sh1207231.10fu
title: SH1207231.10FU

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/sh1207232.10fu
title: SH1207232.10FU

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/sh1207233.10fu
title: SH1207233.10FU

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/sh1207234.10fu
title: SH1207234.10FU

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/sh1207236.10fu
title: SH1207236.10FU

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/sh1207238.10fu
title: SH1207238.10FU

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.q6bg3q
title: Occurrence Download

description: A dataset containing 17999 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is 2023_snc_observation_citizensciencemonitoring_17999"
 ]
}

 The dataset includes 17999 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000591-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5ghwe
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elymus brevipes"
 ]
}

 The dataset includes 174 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000592-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p34rha
title: Occurrence Download

description: A dataset containing 5134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Teucrium scorodonia, Teucrium scorodonia, Teucrium scorodonia)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 5134 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009259-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data148
title: Phorid Flies in Mushroom Growing Farms

description: Dipteran species are some of the most serious arthropod pest affecting mushroom crops. The phorid fly Megaselia halterata Wood (Diptera: Phoridea) has traditionally been considered a minor pest throughout the world, althoguh they have repeatedly been a very important pest in Spanish mushroom farms. This datasheet summarizes the information regarding mushroom phorid populations in mushroom farms from Castilla-La Mancha (Spain). Over a period of 18 months (six seasons), 18 mushroom crop cycles (three cycles per season) were monitored. There are two data files: “Adult_phorids_CIES_IRTA” and “Immature_phorids_CIES_IRTA”. 

“Adult_phorids_CIES_IRTA” file comprises data regarding adult phorids caught through the total growing period by means yellow sticky traps, weekly renewed, located in three points of the mushroom facilities: near the front door, in the middle of the farm, and in the back area, near the ventilation hole (“location” in the datasheet). Data value corresponding to number of phorid adults per day, per each location, per each mushroom growing stage, and per each of the studied seasons. 

“Immature_phorids_CIES_IRTA” file comprise data of phorid immature stages inside of the growing substrate samples. The survey of compost and casing materials was carried out, per duplicate, at different mushroom growing stages, and in the same locations previously explained. Data value corresponding to number of phorid immature stages per each replication of the sample, per each mushroom growing substrate, per each location, per each growing stage, and per each of the studied seasons
description: Funder:
- Agency Name: Ministerio de Agricultura, Pesca y Alimentación de España (MAPA)
- ID: SC98‐011‐C3‐1 and RTA01‐017‐C3‐1
DOI: 10.15468/dl.45y2y8
title: Occurrence Download

description: A dataset containing 117453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bulgaria",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d"
 ]
}

 The dataset includes 117453 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009218-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18466671
title: Multi-instrument analysis of medium-scale travelling ionospheric disturbances generated by an intense tropospheric jet-front system with severe convection in Europe in August 2023

description: This is a supplementary dataset to the manuscript: Barta, V., Potuznikova, K., Koucká Knížová, P., Chum, J., Mielich, J., Guerra, M., Burešová, D., Mani, S., Verhulst, T. G. W., Berényi, K., Altadill, D., Segarra, A., Kouba, D., Mošna, Z., Buzás, A., Spogli, L., Urbář, J., Ventriglia, V., & Belehaki, A. (2025). Multi-instrument analysis of medium-scale travelling ionospheric disturbances generated by an intense tropospheric jet-front system with severe convection in Europe in August 2023. Journal of Space Weather and Space Climate, 15, A23.
DOI: 10.5281/zenodo.18466673
title: Multi-instrument analysis of medium-scale travelling ionospheric disturbances generated by an intense tropospheric jet-front system with severe convection in Europe in August 2023

description: This is a supplementary dataset to the manuscript: Barta, V., Potuznikova, K., Koucká Knížová, P., Chum, J., Mielich, J., Guerra, M., Burešová, D., Mani, S., Verhulst, T. G. W., Berényi, K., Altadill, D., Segarra, A., Kouba, D., Mošna, Z., Buzás, A., Spogli, L., Urbář, J., Ventriglia, V., & Belehaki, A. (2025). Multi-instrument analysis of medium-scale travelling ionospheric disturbances generated by an intense tropospheric jet-front system with severe convection in Europe in August 2023. Journal of Space Weather and Space Climate, 15, A23.
DOI: 10.15468/dl.fbvnpg
title: Occurrence Download

description: A dataset containing 117453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bulgaria",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d"
 ]
}

 The dataset includes 117453 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009238-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.trvphc
title: Occurrence Download

description: A dataset containing 15899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Thalictrum aquilegiifolium)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 15899 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009260-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18466735
title: LINF_320024500

description: Cation efflux protein; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18466736
title: LINF_320024500

description: Cation efflux protein; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.15739669
title: Source data: Observation of the anomalous Nernst effect in altermagnetic candidate Mn5Si3

description: Source Data for "Observation of the anomalous Nernst effect in altermagnetic candidate Mn5Si3"

This repository contains the raw data corresponding to the figures presented in the paper.

File Naming Convention-  Each file name corresponds to the figure number, a specific part of a figure, or a specific line in a figure  as it appears in the publication.

Data Format- All datasets are provided as text files with the columns separted by a space. The text files include a header with the column name and corresponding unit.

For additional details or context, please refer to the published paper.
DOI: 10.5281/zenodo.15739670
title: Source data: Observation of the anomalous Nernst effect in altermagnetic candidate Mn5Si3

description: Source Data for "Observation of the anomalous Nernst effect in altermagnetic candidate Mn5Si3"

This repository contains the raw data corresponding to the figures presented in the paper.

File Naming Convention-  Each file name corresponds to the figure number, a specific part of a figure, or a specific line in a figure  as it appears in the publication.

Data Format- All datasets are provided as text files with the columns separted by a space. The text files include a header with the column name and corresponding unit.

For additional details or context, please refer to the published paper.
DOI: 10.6084/m9.figshare.29117066
title: Occupational nanoparticles: major sources, physicochemical properties, multi-organ toxic effects, and associated mechanisms

description: Increased exposure to nanoscale particles (NPs) in living and occupational environments has produced various harmful effects in recent years. Owing to their small particle size and physicochemical properties, NPs can evade engineered defenses, exhibit greater toxicity, and affect the physiological functions of multiple organs in the human body through the circulatory system and biological barriers. Therefore, we should pay attention to the multi-organ toxicity effects caused by NPs and their mechanisms. High-level occupational exposure to NPs at elevated concentrations constitutes a substantial threat to the health of workers. Therefore, it is necessary to conduct a targeted assessment of the health risks of NPs in the occupational environment. This paper provides a comprehensive review of the sources of NPs in both living and occupational environments. Specifically, it highlights the disparities in the characteristics and associated toxicities between nanoscale and microscale inhalable particulate matter within the occupational context. Moreover, it delves deeply into the contributions of NPs to multi-organ toxicity effects and the underlying pathological mechanisms.
DOI: 10.6084/m9.figshare.29117066.v1
title: Occupational nanoparticles: major sources, physicochemical properties, multi-organ toxic effects, and associated mechanisms

description: Increased exposure to nanoscale particles (NPs) in living and occupational environments has produced various harmful effects in recent years. Owing to their small particle size and physicochemical properties, NPs can evade engineered defenses, exhibit greater toxicity, and affect the physiological functions of multiple organs in the human body through the circulatory system and biological barriers. Therefore, we should pay attention to the multi-organ toxicity effects caused by NPs and their mechanisms. High-level occupational exposure to NPs at elevated concentrations constitutes a substantial threat to the health of workers. Therefore, it is necessary to conduct a targeted assessment of the health risks of NPs in the occupational environment. This paper provides a comprehensive review of the sources of NPs in both living and occupational environments. Specifically, it highlights the disparities in the characteristics and associated toxicities between nanoscale and microscale inhalable particulate matter within the occupational context. Moreover, it delves deeply into the contributions of NPs to multi-organ toxicity effects and the underlying pathological mechanisms.
DOI: 10.5281/zenodo.18466669
title: A Labeled Spanish Twitter Dataset for Binary Cyberbullying Detection

description: This dataset contains a Spanish-language Twitter corpus labeled for binary cyberbullying detection. It was collected using the Twitter API with Spanish language filtering and a geographic focus on Ecuador, and then manually annotated to support supervised learning experiments in hate speech / bullying detection and related NLP tasks.

The dataset is provided as a single semicolon-separated CSV file (CorpusBullying.csv) with three fields: a unique tweet identifier (ID), the cleaned tweet text (SpanishTweet), and a binary label (Label), where 1 indicates bullying/cyberbullying content (e.g., insults, severe verbal aggression, discriminatory attacks) and 0 indicates non-bullying. The tweet text distributed in the file is preprocessed (lowercased and cleaned by removing links, user mentions, special characters, and Spanish stop words) to facilitate direct use in machine learning pipelines.

The corpus includes 83,400 labeled tweets, with 16,247 bullying instances and 67,153 non-bullying instances. It can be used to benchmark text classification models (e.g., CNN/RNN/Transformer architectures), study class imbalance strategies, and compare feature-based and deep learning approaches for cyberbullying detection in Spanish.
DOI: 10.5281/zenodo.18466670
title: A Labeled Spanish Twitter Dataset for Binary Cyberbullying Detection

description: This dataset contains a Spanish-language Twitter corpus labeled for binary cyberbullying detection. It was collected using the Twitter API with Spanish language filtering and a geographic focus on Ecuador, and then manually annotated to support supervised learning experiments in hate speech / bullying detection and related NLP tasks.

The dataset is provided as a single semicolon-separated CSV file (CorpusBullying.csv) with three fields: a unique tweet identifier (ID), the cleaned tweet text (SpanishTweet), and a binary label (Label), where 1 indicates bullying/cyberbullying content (e.g., insults, severe verbal aggression, discriminatory attacks) and 0 indicates non-bullying. The tweet text distributed in the file is preprocessed (lowercased and cleaned by removing links, user mentions, special characters, and Spanish stop words) to facilitate direct use in machine learning pipelines.

The corpus includes 83,400 labeled tweets, with 16,247 bullying instances and 67,153 non-bullying instances. It can be used to benchmark text classification models (e.g., CNN/RNN/Transformer architectures), study class imbalance strategies, and compare feature-based and deep learning approaches for cyberbullying detection in Spanish.
DOI: 10.5281/zenodo.18465366
title: Supplementary Materials: A typology of the exophoric functions of Malayo-Polynesian demonstratives

description: These datasets are the Supplementary Materials to the article published in Linguistic Typology entitled "A typology of the exophoric functions of Malayo-Polynesian demonstratives." The file "supplementarymaterial_mp-demonstratives.csv" contains the coding of the demonstrative systems while the file "supplementarymaterial_mp-demonstratives_subgrouping.csv" contains subgrouping information about the languages in the sample.
DOI: 10.5281/zenodo.18465367
title: Supplementary Materials: A typology of the exophoric functions of Malayo-Polynesian demonstratives

description: These datasets are the Supplementary Materials to the article published in Linguistic Typology entitled "A typology of the exophoric functions of Malayo-Polynesian demonstratives." The file "supplementarymaterial_mp-demonstratives.csv" contains the coding of the demonstrative systems while the file "supplementarymaterial_mp-demonstratives_subgrouping.csv" contains subgrouping information about the languages in the sample.
DOI: 10.17026/ar/xmgzje
title: Kloosterstraat 1-3, en 5 te Landgraaf RAAPrap_6973_LAKLO3_20240227_bijlagen_kaartbijlage

description: &lt;p&gt;Verspreid over de proefsleuven zijn verschillende archeologische resten aangetroffen. Het gaat om kuilen, kelders en muurresten van bewoning uit de 19e of 20e eeuw. Mogelijk zijn alleen de resten van een historische kelder aan de Kloosterstraat (ten dele) ouder. De resten zijn aangetroffen vanaf circa 60 cm onder het maaiveld.&lt;/p&gt;