cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1398043.10fu
title: SH1398043.10FU

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/sh1398044.10fu
title: SH1398044.10FU

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/sh1398045.10fu
title: SH1398045.10FU

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/sh1398049.10fu
title: SH1398049.10FU

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/sh1398051.10fu
title: SH1398051.10FU

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/sh1398052.10fu
title: SH1398052.10FU

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.16083907
title: Dataset for Early Detection of ITSC Faults in PMSMs

description: The published dataset contains the following:



faulted_PMSM_data.mat - identified flux maps of a faulted Prius PMSM extracted from FEA-simulation (4-D with the size of 11x11x11x61)

simulation_data.zip - transient simulation data (6667 records of dq-currents)

training_data.zip - DWT features extracted from the simulation data and experimental data ( Wavelet levels for 6667 sample)

Transformer_Classifier.ipynb - Transformer model with training loop 


In the transient simulation the naming convention is the following:



healthy: simulation_results_hlth_Mload_XX.X_n_YYY_step_time_ZZZ_speed_step.mat, where X  is the load, Y is the speed and Z is the time where the transient happened

faulted: simulation_results_Rf_XX_Mload_YYY_n_ZZZ_phW_speed_step.mat, where X  is the fault resistance, Y is the load, Z is the speed and W is the faulted phase index ( 1 - U,  2 -V, 3 - W)


In the training data, each csv is a given wavelet level for every sample . The "exp" notation means that it is extracted from experimental data.

Detailed description can be found in the paper: " Early Detection of ITSC Faults in PMSMs Using Transformer Model and Transient Time-Frequency Features" (https://dx.doi.org/XXX).
DOI: 10.5281/zenodo.16083908
title: Dataset for Early Detection of ITSC Faults in PMSMs

description: The published dataset contains the following:



faulted_PMSM_data.mat - identified flux maps of a faulted Prius PMSM extracted from FEA-simulation (4-D with the size of 11x11x11x61)

simulation_data.zip - transient simulation data (6667 records of dq-currents)

training_data.zip - DWT features extracted from the simulation data and experimental data ( Wavelet levels for 6667 sample)

Transformer_Classifier.ipynb - Transformer model with training loop 


In the transient simulation the naming convention is the following:



healthy: simulation_results_hlth_Mload_XX.X_n_YYY_step_time_ZZZ_speed_step.mat, where X  is the load, Y is the speed and Z is the time where the transient happened

faulted: simulation_results_Rf_XX_Mload_YYY_n_ZZZ_phW_speed_step.mat, where X  is the fault resistance, Y is the load, Z is the speed and W is the faulted phase index ( 1 - U,  2 -V, 3 - W)


In the training data, each csv is a given wavelet level for every sample . The "exp" notation means that it is extracted from experimental data.

Detailed description can be found in the paper: " Early Detection of ITSC Faults in PMSMs Using Transformer Model and Transient Time-Frequency Features" (https://dx.doi.org/XXX).
DOI: 10.15468/dl.dd9n5a
title: Occurrence Download

description: A dataset containing 63425 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sedum sexangulare"
 ]
}

 The dataset includes 63425 records from 545 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005931-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c963fz
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xerodraba patagonica"
 ]
}

 The dataset includes 100 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006029-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6zvcz
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eichhornia crassipes",
 "Country is Congo, Democratic Republic of the",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006034-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrus6b
title: Occurrence Download

description: A dataset containing 450 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Presence of sea turtles collected through Fixed-Line-Transect monitoring across the Western Mediterranean Sea (Civitavecchia-Barcelona route) between 2013 and 2017"
 ]
}

 The dataset includes 450 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006035-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5t2hmk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isatis ermenekensis"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006036-250717081556266/datasets/export for details.
DOI: 10.15468/dl.p7hzrh
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tetracme contorta"
 ]
}

 The dataset includes 39 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006037-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.try8rw
title: Occurrence Download

description: A dataset containing 2190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nastra lherminier",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2190 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006038-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hr6et9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptostegia grandiflora",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006039-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vprhvs
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Armoracia rusticana",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 69 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006040-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a48kbj
title: Occurrence Download

description: A dataset containing 986 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptostegia grandiflora",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 986 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006041-250717081556266/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.29597213
title: Supplementary Material for: Large Planum Sphenoidale Meningioma in a Patient with Bilateral Optic Disc Pallor

description: Purpose
Differentiating non-glaucomatous and glaucomatous etiologies of optic neuropathy clinically can be challenging. We describe a patient with glaucoma and a concurrent planum sphenoidale meningioma to highlight the importance of fundoscopic examination and ancillary diagnostic tests. Despite thinning of the retinal nerve fiber layers (RNFL), tumor resection led to encouraging improvement in postoperative visual field (VF) testing. This suggests that the presence of reasonably preserved nerve fiber layers is a prognostic factor for visual field recovery following neurosurgical intervention in cases involving the chiasmal region.
Case Report
A 73-year-old female presented with a one-year history of headaches, intermittent ocular pain, blurred vision and gradual loss of peripheral vision in her left eye. Initial evaluation revealed normal intraocular pressure and asymmetric cupping of 0.6 and 0.4 in the right and left eyes, respectively. While normal tension glaucoma was a possible diagnosis, her bilateral optic nerve head pallor, thinning of the retinal nerve fiber layer, and visual field defects that did not match the cupping raise suspicion for an intracranial lesion. Magnetic resonance imaging (MRI) and histopathology confirmed a large planum sphenoidale meningioma, which was surgically resected. Postoperative recovery showed drastically improved in VF and resolution of symptoms, though visual acuity remained suboptimal.
Conclusion
Surgical resection of a large tumor size, as seen in our patient, can still result in visual field improvement despite suboptimal recovery of visual acuity. This case highlights the importance of considering intracranial tumors in the differential diagnosis to prevent long-term visual impairment.
DOI: 10.6084/m9.figshare.29597213.v1
title: Supplementary Material for: Large Planum Sphenoidale Meningioma in a Patient with Bilateral Optic Disc Pallor

description: Purpose
Differentiating non-glaucomatous and glaucomatous etiologies of optic neuropathy clinically can be challenging. We describe a patient with glaucoma and a concurrent planum sphenoidale meningioma to highlight the importance of fundoscopic examination and ancillary diagnostic tests. Despite thinning of the retinal nerve fiber layers (RNFL), tumor resection led to encouraging improvement in postoperative visual field (VF) testing. This suggests that the presence of reasonably preserved nerve fiber layers is a prognostic factor for visual field recovery following neurosurgical intervention in cases involving the chiasmal region.
Case Report
A 73-year-old female presented with a one-year history of headaches, intermittent ocular pain, blurred vision and gradual loss of peripheral vision in her left eye. Initial evaluation revealed normal intraocular pressure and asymmetric cupping of 0.6 and 0.4 in the right and left eyes, respectively. While normal tension glaucoma was a possible diagnosis, her bilateral optic nerve head pallor, thinning of the retinal nerve fiber layer, and visual field defects that did not match the cupping raise suspicion for an intracranial lesion. Magnetic resonance imaging (MRI) and histopathology confirmed a large planum sphenoidale meningioma, which was surgically resected. Postoperative recovery showed drastically improved in VF and resolution of symptoms, though visual acuity remained suboptimal.
Conclusion
Surgical resection of a large tumor size, as seen in our patient, can still result in visual field improvement despite suboptimal recovery of visual acuity. This case highlights the importance of considering intracranial tumors in the differential diagnosis to prevent long-term visual impairment.
DOI: 10.6084/m9.figshare.29597216
title: Supplementary Material for: Can plaque indices effectively indicate the true amount of plaque?

description: Aims: Clinical plaque indices are well established methods for quantifying the effects of plaque control, e.g. with different toothbrush types. However, effect sizes observed in such studies depend on the index used. Therefore, his study aimed to evaluate how Turesky-modified Quigley-Hein Plaque Index (T-QHPI), Rustogi-modified Navy Plaque Index (RMNPI), and RMNPI modified by Bretz (RMNPI-Bretz) scores correspond to actual plaque amounts.
Methods: Thirty participants, 24±4 years old, were included. Following 72 hours without oral hygiene and after subsequent habitual toothbrushing, disclosed plaque (Mira-2-Ton®) was captured using intraoral scans (Carestream 3800). Scoring grids corresponding to the indices were projected onto standardized images on the oral and vestibular sides of the Ramfjord teeth (16, 21, 24, 36, 41, and 44) and scored. Afterwards actual plaque coverage was quantified planimetrically (P%).
Results: All methods yield significant plaque reduction after brushing (P%: 42.1±14.0%, T-QHPI: 32.7±9.5%, RMNPI: 19.7±9.5%, RMNPI-Bretz: 30.2±9.9; p≤0.001 each). However, Bland-Altman analysis revealed distinct systematic and proportional biases in relation to P%. As P% was not linearly related to the index values, equations were derived, enabling the conversion into actual plaque coverage. Those were applied to T-QHPI and RMNPI data from the literature to allow a deeper understanding of effect sizes. 
Conclusions: Plaque indices only partially reflect actual plaque coverage. Compared to RMNPI, T-QHPI and RMNPI-Bretz gave closer agreement with the planimetric measurements.
Clinical Relevance: These findings highlight the limitations of traditional plaque indices in accurately representing plaque reduction, while offering a new approach to enhance the interpretability of oral hygiene studies.
DOI: 10.6084/m9.figshare.29597216.v1
title: Supplementary Material for: Can plaque indices effectively indicate the true amount of plaque?

description: Aims: Clinical plaque indices are well established methods for quantifying the effects of plaque control, e.g. with different toothbrush types. However, effect sizes observed in such studies depend on the index used. Therefore, his study aimed to evaluate how Turesky-modified Quigley-Hein Plaque Index (T-QHPI), Rustogi-modified Navy Plaque Index (RMNPI), and RMNPI modified by Bretz (RMNPI-Bretz) scores correspond to actual plaque amounts.
Methods: Thirty participants, 24±4 years old, were included. Following 72 hours without oral hygiene and after subsequent habitual toothbrushing, disclosed plaque (Mira-2-Ton®) was captured using intraoral scans (Carestream 3800). Scoring grids corresponding to the indices were projected onto standardized images on the oral and vestibular sides of the Ramfjord teeth (16, 21, 24, 36, 41, and 44) and scored. Afterwards actual plaque coverage was quantified planimetrically (P%).
Results: All methods yield significant plaque reduction after brushing (P%: 42.1±14.0%, T-QHPI: 32.7±9.5%, RMNPI: 19.7±9.5%, RMNPI-Bretz: 30.2±9.9; p≤0.001 each). However, Bland-Altman analysis revealed distinct systematic and proportional biases in relation to P%. As P% was not linearly related to the index values, equations were derived, enabling the conversion into actual plaque coverage. Those were applied to T-QHPI and RMNPI data from the literature to allow a deeper understanding of effect sizes. 
Conclusions: Plaque indices only partially reflect actual plaque coverage. Compared to RMNPI, T-QHPI and RMNPI-Bretz gave closer agreement with the planimetric measurements.
Clinical Relevance: These findings highlight the limitations of traditional plaque indices in accurately representing plaque reduction, while offering a new approach to enhance the interpretability of oral hygiene studies.
DOI: 10.15468/dl.6n5fr3
title: Occurrence Download

description: A dataset containing 505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Armoracia rusticana",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 505 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006042-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cj5xdu
title: Occurrence Download

description: A dataset containing 311014 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Veronica serpyllifolia"
 ]
}

 The dataset includes 311014 records from 1832 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005935-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.