cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26037556.v1
title: Supplementary Material for: A novel quality control strategy for the preparation of high-quality recombinant allergens in Escherichia coli: a case study of Der f 2

description: Introduction
Recombinant allergens produced by Escherichia coli (E. coli) system play an important role in the component-resolved diagnostics of allergy and vaccine development. However, incorrect folding of recombinant allergens may affect their application. Therefore, it is very important to monitor the correct folding of recombinant allergens. Currently, there is still a lack of a quality control strategy to solve this problem. In this study, a mite allergen, Der f 2, was taken as an example to establish a novel quality control strategy, which was based on chromatography to isolate the allergen, and on enzyme-linked immunosorbent assay to verify the IgE reaction of the isolated allergen.
Methods
The nucleotide sequence encoding Der f 2 was codon-optimized and cloned into pET-28a (+) plasmid. Best conditions for Der f 2 expression in E. coli were sought. The inclusion body of Der f 2 was denatured and purified by nickel affinity chromatography. Refolding processes were compared using glutathione redox system. The fully folded and partially folded proteins were separated by anion exchange chromatography, and the IgE reactivity of the isolated proteins was verified by indirect enzyme-linked immunosorbent assay.
Results
An optimized 387 bp segment of the Der f 2 coding gene was successfully expressed in E. coli. Best induction conditions included pre-induction bacterial density with absorbance value at 600 nm was 0.6, 1 mM IPTG at 28 ℃ for 4 h. The Der f 2 protein after refolding was separated by chromatography and two fractions were obtained. The first fraction was identified as monomer protein and the second as aggregate by size-exclusion chromatography. Indirect enzyme-linked immunosorbent assay also confirmed that the first fraction showed higher IgE reactivity.
Conclusion
In this study, a novel quality control strategy based on chromatographic separation and IgE reactivity monitoring was established in the case of mite Der f 2, which systematically evaluated the effectiveness of multiple preparation methods for the first time. It is faster and more convenient, when compared with existing methods such as size-exclusion chromatography. This strategy laid a foundation for the stable application of recombinant allergens produced by E. coli in component-resolved diagnostics and the development of molecular vaccines in the future.
DOI: 10.15468/dl.fadgwu
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoronida",
 "Year 2024-2024"
 ]
}

 The dataset includes 48 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078972-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wuwb8v
title: Occurrence Download

description: A dataset containing 1317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "DatasetKey is one of (Censo de primates de la Fundación Entropika, Field Museum of Natural History (Action) Mammals Sightings, Registro de Fauna Silvestre en el Inventario Nacional Forestal y de Fauna Silvestre-SERFOR, Perú, Observation.org, Nature data from around the World, International Barcode of Life project (iBOL), Rapid Assessment Program (RAP) Biodiversity Survey Database, Macaulay Library Audio and Video Collection, Registros Primates Neotropicales Convocatoria APC, naturgucker)",
 "OccurrenceStatus is Present",
 "TaxonKey is Primates",
 "Year 1990-2024"
 ]
}

 The dataset includes 1317 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078973-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8382441
title: DoctorWood_Ontologie

description: ger: Eine Domänenontolgie als Assistenzsystem zur Bewertung von Bauschäden durch holzzerstörende Insekten.

eng: Defined Ontology for Classification and transparent object recording of wood damages from wood destroying insects (Doctor Wood)
DOI: 10.5281/zenodo.8382442
title: DoctorWood_Ontologie

description: ger: Eine Domänenontolgie als Assistenzsystem zur Bewertung von Bauschäden durch holzzerstörende Insekten.

eng: Defined Ontology for Classification and transparent object recording of wood damages from wood destroying insects (Doctor Wood)
DOI: 10.15468/dl.rbvj3y
title: Occurrence Download

description: A dataset containing 65206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oenanthe fistulosa L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 65206 records from 534 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078963-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yyqqmm
title: Occurrence Download

description: A dataset containing 3484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Antarctica",
 "DatasetKey is one of (Southern Ocean Continuous Zooplankton Recorder (SO-CPR) Survey, Antarctic Krill occurrence data from US AMLR \"US Antarctic Marine Living Resources\" Program, RMT Trawl catch from the 1995/96 V4 BROKE voyage, Antarctic Euphausiacea occurence data from \"German Antarctic Marine Living Resources\" (GAMLR) Expeditions, RMT Trawl catch from the 2003/04 V3 BROKE-West voyage, Epipelagic mesozooplankton distribution and abundance in Southern Ocean Atlantic sector and the North Atlantic and Arctic 1996-2013, RMT Trawl catch from the 2005/06 V3 BROKE-West voyage - Fish, Antarctic Krill occurrence data from Ukraine YUGNIRO Institute, Antarctic Krill occurrence data from Australian expeditions)",
 "Month is one of (January, February, March, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Euphausia superba Dana, 1850",
 "Year 1993-2016"
 ]
}

 The dataset includes 3484 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078974-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7s9tpp
title: Occurrence Download

description: A dataset containing 2614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oenanthe sarmentosa C.Presl ex DC.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2614 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078975-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mzcrq
title: Occurrence Download

description: A dataset containing 1969 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Panax quinquefolius L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1969 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078976-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zq78g5
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vitis acerifolia Raf.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 314 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078977-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1408069.10fu
title: SH1408069.10FU

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: 10.6084/m9.figshare.31034230
title: Behavioral and Video-Based Tracking Data from The Switchboard Test:A Flexible, Low-Cost Setup for Assessing Spatial Memory in Rats During Sequential Instrumental Tasks

description: This repository provides representative sample data from <b>The Switchboard Test</b>, a flexible, low-cost experimental paradigm developed to assess spatial memory in rats during sequential instrumental tasks. The task is designed to capture both decision-making performance and movement dynamics while remaining compatible with electrophysiological recordings and scalable behavioral testing.The experimental system consists of a microcontroller-based task execution and event-logging module that handles stimulus delivery, reward triggering, and precise timestamping of behavioral events, together with overhead video recording and pose estimation performed using DeepLabCut. The microcontroller serves as the primary temporal reference for all behavioral events, ensuring consistent and reproducible timing across experimental sessions.Due to the large size of full experimental datasets and practical constraints associated with video-linked behavioral recordings, the complete dataset is not currently hosted publicly. Instead, this repository contains representative<b> </b>sample files for each data modality. These samples preserve the full structural complexity of the original data, including variable definitions, timestamping schemes, session organization, and data-integration logic, thereby enabling transparency, reproducibility, and validation of analysis pipelines.Behavioral event timestamps are generated using a microcontroller-based clock and are temporally aligned with DeepLabCut-derived tracking data using a ±100 ms tolerance window. This alignment enables joint analyses of spatial movement and behavioral decisions during task performance. Multiple stages of data processing are represented, from raw event logs to analyzed performance metrics and integrated behavioral–tracking datasets.The repository includes the following data categories:Raw behavioral event logs generated during experimental sessionsAnalyzed behavioral performance data derived from raw logsProcessed DeepLabCut tracking data containing pose estimates and likelihoodsMerged datasets combining behavioral and tracking data based on temporal alignmentTask execution and data-logging code used during experimentsAll shared files correspond to real experimental sessions and are provided as representative samples rather than complete datasets. The full experimental dataset may be made publicly available in future releases as data curation and storage constraints allow. Until then, complete datasets are available from the authors upon reasonable request.
DOI: 10.6084/m9.figshare.31034230.v4
title: Behavioral and Video-Based Tracking Data from The Switchboard Test:A Flexible, Low-Cost Setup for Assessing Spatial Memory in Rats During Sequential Instrumental Tasks

description: This repository provides representative sample data from <b>The Switchboard Test</b>, a flexible, low-cost experimental paradigm developed to assess spatial memory in rats during sequential instrumental tasks. The task is designed to capture both decision-making performance and movement dynamics while remaining compatible with electrophysiological recordings and scalable behavioral testing.The experimental system consists of a microcontroller-based task execution and event-logging module that handles stimulus delivery, reward triggering, and precise timestamping of behavioral events, together with overhead video recording and pose estimation performed using DeepLabCut. The microcontroller serves as the primary temporal reference for all behavioral events, ensuring consistent and reproducible timing across experimental sessions.Due to the large size of full experimental datasets and practical constraints associated with video-linked behavioral recordings, the complete dataset is not currently hosted publicly. Instead, this repository contains representative<b> </b>sample files for each data modality. These samples preserve the full structural complexity of the original data, including variable definitions, timestamping schemes, session organization, and data-integration logic, thereby enabling transparency, reproducibility, and validation of analysis pipelines.Behavioral event timestamps are generated using a microcontroller-based clock and are temporally aligned with DeepLabCut-derived tracking data using a ±100 ms tolerance window. This alignment enables joint analyses of spatial movement and behavioral decisions during task performance. Multiple stages of data processing are represented, from raw event logs to analyzed performance metrics and integrated behavioral–tracking datasets.The repository includes the following data categories:Raw behavioral event logs generated during experimental sessionsAnalyzed behavioral performance data derived from raw logsProcessed DeepLabCut tracking data containing pose estimates and likelihoodsMerged datasets combining behavioral and tracking data based on temporal alignmentTask execution and data-logging code used during experimentsAll shared files correspond to real experimental sessions and are provided as representative samples rather than complete datasets. The full experimental dataset may be made publicly available in future releases as data curation and storage constraints allow. Until then, complete datasets are available from the authors upon reasonable request.
DOI: 10.15156/bio/sh1408070.10fu
title: SH1408070.10FU

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.ysjsq2
title: Occurrence Download

description: A dataset containing 8096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "ScientificName is Quercus faginea Lam.",
 "Year is greater than 1980",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8096 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006246-260108223611665/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.31034230.v3
title: Behavioral and Video-Based Tracking Data from The Switchboard Test:A Flexible, Low-Cost Setup for Assessing Spatial Memory in Rats During Sequential Instrumental Tasks

description: This repository provides representative sample data from <b>The Switchboard Test</b>, a flexible, low-cost experimental paradigm developed to assess spatial memory in rats during sequential instrumental tasks. The task is designed to capture both decision-making performance and movement dynamics while remaining compatible with electrophysiological recordings and scalable behavioral testing.The experimental system consists of a microcontroller-based task execution and event-logging module that handles stimulus delivery, reward triggering, and precise timestamping of behavioral events, together with overhead video recording and pose estimation performed using DeepLabCut. The microcontroller serves as the primary temporal reference for all behavioral events, ensuring consistent and reproducible timing across experimental sessions.Due to the large size of full experimental datasets and practical constraints associated with video-linked behavioral recordings, the complete dataset is not currently hosted publicly. Instead, this repository contains representative<b> </b>sample files for each data modality. These samples preserve the full structural complexity of the original data, including variable definitions, timestamping schemes, session organization, and data-integration logic, thereby enabling transparency, reproducibility, and validation of analysis pipelines.Behavioral event timestamps are generated using a microcontroller-based clock and are temporally aligned with DeepLabCut-derived tracking data using a ±100 ms tolerance window. This alignment enables joint analyses of spatial movement and behavioral decisions during task performance. Multiple stages of data processing are represented, from raw event logs to analyzed performance metrics and integrated behavioral–tracking datasets.The repository includes the following data categories:Raw behavioral event logs generated during experimental sessionsAnalyzed behavioral performance data derived from raw logsProcessed DeepLabCut tracking data containing pose estimates and likelihoodsMerged datasets combining behavioral and tracking data based on temporal alignmentTask execution and data-logging code used during experimentsAll shared files correspond to real experimental sessions and are provided as representative samples rather than complete datasets. The full experimental dataset may be made publicly available in future releases as data curation and storage constraints allow. Until then, complete datasets are available from the authors upon reasonable request.
DOI: 10.15156/bio/sh1408075.10fu
title: SH1408075.10FU

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/sh1408076.10fu
title: SH1408076.10FU

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/sh1408083.10fu
title: SH1408083.10FU

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/sh1408084.10fu
title: SH1408084.10FU

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.