cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0001201.10fu
title: SH0001201.10FU

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/sh0001202.10fu
title: SH0001202.10FU

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/sh0001203.10fu
title: SH0001203.10FU

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: 10.5281/zenodo.18150617
title: Private 5G latency and data rate measurements

description: Raw data from measurements conducted using Lapland UAS private 5G system in robotics environment. Latency is round-trip time (RTT) in ROS1 environment between two hosts. Maximum data rate is measured using Ubuntu system monitor, while the network is fully saturated.
DOI: 10.5281/zenodo.18150618
title: Private 5G latency and data rate measurements

description: Raw data from measurements conducted using Lapland UAS private 5G system in robotics environment. Latency is round-trip time (RTT) in ROS1 environment between two hosts. Maximum data rate is measured using Ubuntu system monitor, while the network is fully saturated.
DOI: 10.15156/bio/sh0001204.10fu
title: SH0001204.10FU

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/sh0001205.10fu
title: SH0001205.10FU

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/sh0001206.10fu
title: SH0001206.10FU

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.c7msap
title: Occurrence Download

description: A dataset containing 373616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Capsella bursa-pastoris)",
 "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 373616 records from 2476 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074288-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egku56
title: Occurrence Download

description: A dataset containing 376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pampus argenteus (Euphrasen, 1788)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 376 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006629-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwfm7c
title: Occurrence Download

description: A dataset containing 6094 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bidens bipinnata L., Bidens bipinnata var. minor Memm., Bidens bipinnata subsp. biternatoides Sherff, Bidens pilosa subsp. wallichii (DC.) C.B.Clarke, Bidens decomposita var. decomposita, Kerneria bipinnata (L.) Gren. & Godr., Bidens wallichii DC., Bidens pilosa subsp. bipinnata (L.) Hook.f., Bidens wallichii subsp. wallichii, Bidens decomposita Wall. ex DC., Bidens bipinnata subsp. minor Memm., Bidens decomposita subsp. decomposita, Bidens portoricensis Spreng. ex DC., Bidens bipinnata var. biternatoides Sherff, Bidens fervida Colla, Bidens bipinnata var. simplicior F.Muell., Bidens bipinnata var. bipinnata, Bidens elongata Tausch, Bidens myrrhidifolia Tausch, Bidens cicutaefolia Tausch, Bidens bipinnata subsp. bipinnata, Bidens cicutifolia Tausch, Bidens pilosa var. decomposita (Wall. ex DC.) Hook.fil., Bidens pilosa subsp. decomposita (Wall. ex DC.) Hook.f., Bidens cynapiifolia var. portoricensis (Spreng.) O.E.Schulz, Bidens pilosa var. bipinnata (L.) Hook.fil.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 6094 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006630-241126133413365/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.27930363
title: Supplementary Material for: Prevalence of hidradenitis suppurativa in Poland

description: Introduction: Hidradenitis suppurativa (HS) is a chronic inflammatory skin condition characterized by recurrent boils or abscesses. Its prevalence varies globally, yet specific data from Poland are limited. This study aims to determine the prevalence of HS among adults in Poland, utilizing standardized methods as part of the Global Hidradenitis Suppurativa Atlas (GHiSA) initiative. 
Methods: This monocenter study was conducted at internal medicine departments of University Hospital of Wroclaw. In the study, participants were individuals accompanying patients administered to the hospital, excluding individuals under 18 years of old, pregnant women, and those deemed incapable of participating. A self-administered screening questionnaire for HS diagnosis was utilized. Physical examinations and Hurley score assessments were conducted for participants reporting HS symptoms. In addition, approximately 10% of participants who did not report any HS symptoms were tested to determine the false-negative response rate. Statistical analysis was performed using R Project for Statistical Computing and Statistica 13.3 software.
Results: Out of 940 adults approached, 932 participated in the study. 21 participants reported HS symptoms, with 14 individuals diagnosed with HS upon examination. Additionally, 1 participant without reported symptoms was diagnosed with HS. The estimated prevalence of HS among the Polish adult population was 1.61% (95%CI 0.90–2.50%). The screening questionnaire exhibited a sensitivity and specificity of 93%, with a positive predictive value (PPV) of 67% and negative predictive value (NPV) of 99%. 
Conclusion: This study shed some light on the prevalence of HS in Poland, indicating that it is a more common condition than previously reported in the literature. It can contribute to understanding the epidemiology of HS in Poland and may aid in improving diagnosis and management strategies for affected individuals.
DOI: 10.6084/m9.figshare.27930363.v1
title: Supplementary Material for: Prevalence of hidradenitis suppurativa in Poland

description: Introduction: Hidradenitis suppurativa (HS) is a chronic inflammatory skin condition characterized by recurrent boils or abscesses. Its prevalence varies globally, yet specific data from Poland are limited. This study aims to determine the prevalence of HS among adults in Poland, utilizing standardized methods as part of the Global Hidradenitis Suppurativa Atlas (GHiSA) initiative. 
Methods: This monocenter study was conducted at internal medicine departments of University Hospital of Wroclaw. In the study, participants were individuals accompanying patients administered to the hospital, excluding individuals under 18 years of old, pregnant women, and those deemed incapable of participating. A self-administered screening questionnaire for HS diagnosis was utilized. Physical examinations and Hurley score assessments were conducted for participants reporting HS symptoms. In addition, approximately 10% of participants who did not report any HS symptoms were tested to determine the false-negative response rate. Statistical analysis was performed using R Project for Statistical Computing and Statistica 13.3 software.
Results: Out of 940 adults approached, 932 participated in the study. 21 participants reported HS symptoms, with 14 individuals diagnosed with HS upon examination. Additionally, 1 participant without reported symptoms was diagnosed with HS. The estimated prevalence of HS among the Polish adult population was 1.61% (95%CI 0.90–2.50%). The screening questionnaire exhibited a sensitivity and specificity of 93%, with a positive predictive value (PPV) of 67% and negative predictive value (NPV) of 99%. 
Conclusion: This study shed some light on the prevalence of HS in Poland, indicating that it is a more common condition than previously reported in the literature. It can contribute to understanding the epidemiology of HS in Poland and may aid in improving diagnosis and management strategies for affected individuals.
DOI: 10.18419/darus-4449
title: Optimum Blue Light Exposure: A Means to Increase Cell-Specific Productivity in Chinese Hamster Ovary Cells

description: Raw Data for manuscript titled Optimum Blue Light Exposure: A Means to Increase Cell-Specific Productivity in Chinese Hamster Ovary Cells
This dataset was generated from experiments conducted in mini bioreactor cultures to investigate the effects of blue light illumination on mammalian cells. The study demonstrated an increase in cell-specific productivity (csp) of monoclonal antibodies under blue light exposure.

The dataset includes:
Growth data: Detailed cell growth metrics.
Monoclonal antibody titers: Measurements of antibody concentration.
Intracellular ROS measurements: Data on reactive oxygen species levels.
Cell cycle analysis: Distribution of cells across different phases.
QTOF measurements: Proteomic and metabolomic profiling to explore mechanisms behind csp enhancement.
All data are presented in tabular format, including means and standard deviations, providing precise numerical values. The dataset is organized by light intensity (W/m²) and light intervals (light/dark cycles) to facilitate analysis of the observed effects.

This repository offers a comprehensive resource for further exploration of light-mediated productivity enhancement in bioprocesses.
DOI: 10.15468/dl.v4ks72
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glyptotendipes paripes (Edwards, 1929)",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006632-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27dny5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stromateus echinogaster Basilewsky, 1855",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006633-241126133413365/datasets/export for details.
DOI: 10.5281/zenodo.14244322
title: Replication Package: Towards a Common Understanding of Cryptographic Agility

description: This is the replication package of our systematization of knowledge (SoK) „Towards a Common Understanding of Cryptographic Agility“.
DOI: 10.5281/zenodo.14244323
title: Replication Package: Towards a Common Understanding of Cryptographic Agility

description: This is the replication package of our systematization of knowledge (SoK) „Towards a Common Understanding of Cryptographic Agility“.
DOI: 10.15468/dl.ssc6jw
title: Occurrence Download

description: A dataset containing 17565 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pollachius pollachius (Linnaeus, 1758)"
 ]
}

 The dataset includes 17565 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006634-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10049879
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15468/dl.xzrbsv
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Icelus cataphractus (Pavlenko, 1910)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 193 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006635-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8337748
title: Data for the publication: Bursting of condensates

description: This entry includes the raw data and the analysed data for the publication "Bursting of condensates". The original publication was published in Communications Physics: https://doi.org/10.1038/s42005-024-01650-5

The "Analysed_Data.zip" folder contains 5 subfolders with the name of the proteins. Each subfolder contains the analysed data from the videos as .txt files. The type of data is specified in the name: aspiration, retraction, bursting_radius, curvilinear_coordinate. The "Video_protein_name.zip" folders contain the videos in the .tif format obtained with optical microscopy. The applied pressure (Pa) as well as the fps are indicated in the file name. The folder "Stability_coalescence_data.zip" contains the analysed coalescence data as .avi and the images of the time stability and coalescence analysed for CBM-AQ12-CBM. The folder "Microscopy_data.zip" contains the microscopy images. Please find more information in the read_me files uploaded.
description: The authors thank Mikko Haataja, Maria Sammalkorpi, Alberto Scacchi, Joachim Weber and the Institut Curie active matter group for helpful discussions. We thank Ellinor Englund for cloning one of the constructs. This work was funded by the Academy of Finland (Projects 346105, 346112), the Center of Excellence Program (2022−2029) in Life-Inspired Hybrid Materials (LIBER), and the Novo Nordisk Foundation (NNF20OC0061306) and the Institute Curie Pierre Sens UMR 168.
DOI: 10.5281/zenodo.8337749
title: Data for the publication: Bursting of condensates

description: This entry includes the raw data and the analysed data for the publication "Bursting of condensates". The original publication was published in Communications Physics: https://doi.org/10.1038/s42005-024-01650-5

The "Analysed_Data.zip" folder contains 5 subfolders with the name of the proteins. Each subfolder contains the analysed data from the videos as .txt files. The type of data is specified in the name: aspiration, retraction, bursting_radius, curvilinear_coordinate. The "Video_protein_name.zip" folders contain the videos in the .tif format obtained with optical microscopy. The applied pressure (Pa) as well as the fps are indicated in the file name. The folder "Stability_coalescence_data.zip" contains the analysed coalescence data as .avi and the images of the time stability and coalescence analysed for CBM-AQ12-CBM. The folder "Microscopy_data.zip" contains the microscopy images. Please find more information in the read_me files uploaded.
description: The authors thank Mikko Haataja, Maria Sammalkorpi, Alberto Scacchi, Joachim Weber and the Institut Curie active matter group for helpful discussions. We thank Ellinor Englund for cloning one of the constructs. This work was funded by the Academy of Finland (Projects 346105, 346112), the Center of Excellence Program (2022−2029) in Life-Inspired Hybrid Materials (LIBER), and the Novo Nordisk Foundation (NNF20OC0061306) and the Institute Curie Pierre Sens UMR 168.