cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0210792.10fu
title: SH0210792.10FU

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/sh0210793.10fu
title: SH0210793.10FU

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/sh0210794.10fu
title: SH0210794.10FU

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/sh0210795.10fu
title: SH0210795.10FU

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.rkzrd8
title: Occurrence Download

description: A dataset containing 318051 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Artportalen",
 "OccurrenceStatus is Absent",
 "TaxonKey is Aves",
 "Year 2015-2024"
 ]
}

 The dataset includes 318051 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004553-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtfher
title: Occurrence Download

description: A dataset containing 202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Specimen)",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Country derived from coordinates, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cinnamomum effusum (Meisn.) Kosterm."
 ]
}

 The dataset includes 202 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004566-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25916/sut.28377959
title: Dataset summary of participant demographic information

description: The study of the perception of empathy is limited, particularly in voice-based prototypes. The objective of this study is to identify to what extent perceptions of empathy in CA prototypes corresponds with the engineered empathy levels for these voice-based prototypes. In addition, as a secondary aim, this study investigates how the demographic characteristics of participants affect their perception of empathy in a mental health helpline service context. The dataset refers to this participant group recruited through the Swinburne Research Experience Program.
DOI: 10.25916/sut.28377959.v1
title: Dataset summary of participant demographic information

description: The study of the perception of empathy is limited, particularly in voice-based prototypes. The objective of this study is to identify to what extent perceptions of empathy in CA prototypes corresponds with the engineered empathy levels for these voice-based prototypes. In addition, as a secondary aim, this study investigates how the demographic characteristics of participants affect their perception of empathy in a mental health helpline service context. The dataset refers to this participant group recruited through the Swinburne Research Experience Program.
DOI: 10.15468/dl.utxes4
title: Occurrence Download

description: A dataset containing 983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Country is China",
 "TaxonKey is Glycine soja Siebold & Zucc."
 ]
}

 The dataset includes 983 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004567-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5441/001/1.337
title: Data from: Landscape heterogeneity and novelty drive avian oscillatory flight behaviour during forebrain wulst-dependent visual map learning

description: Homing pigeons are able to navigate within a familiar area by relying on familiar visual landmarks and landscape features. Learning and recalling familiar landscape cues, which compose the visual, familiar landmark-based map, are necessarily processed by visual processing regions of the forebrain, such as the visual Wulst. Recent GPS tracking studies revealed persistent oscillatory flight behaviour at a scale of high-spatial resolution in Wulst- and hippocampal-lesioned pigeons, compared to intact pigeons in which this movement pattern seems to disappear after repeated releases. However, the factors that lead to this characteristic flight pattern are still poorly understood. By analysing the flight patterns of intact and Wulst-lesioned pigeons released offshore we found that landscape complexity is an important factor determining the display of oscillatory flight behaviour in both control and Wulst-lesioned pigeons; birds flying over the sea display little osciallatory flight behaviour, but once flying over land, oscillatory flight behaviour becomes evident. The analysis of the tracks of pigeons repeatedly released over both unfamiliar and familiar areas revealed that in intact birds the extent of oscillatory flight behaviour was reduced with increasing familiarity with the landscape. By contrast, Wulst-lesioned pigeons displayed persistent oscillatory flight behaviour regardless of the level of familiarity with the landscape. These findings suggest that the oscillatory flight behaviour contributes to the learning and integration of visual landscape information during the acquisition of a familiar landmark-based map. We discuss the possible role of the visual Wulst in familiar landmark-based navigation, proposing a spatial-cognitive brain network model in which both the visual Wulst and hippocampal formation play prominent roles.
DOI: 10.15468/dl.98hrj8
title: Occurrence Download

description: A dataset containing 2425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vigna racemosa (G.Don) Hutch. & Dalziel ex Baker f."
 ]
}

 The dataset includes 2425 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004569-250218110819086/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.28456223
title: FA230915120_CL01184_R2_001.fastq

description: The sample was obtained from a patient with Krukenberg tumor, which recurred and metastasized to the ovary following treatment for gastric cancer. The fresh tumor tissue was processed through DNA extraction and whole-exome capture, and then sequenced.
DOI: 10.5281/zenodo.14903958
title: AMPERE Summary Plot Movies (2014-Dec)

description: 2014-Dec AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14903959
title: AMPERE Summary Plot Movies (2014-Dec)

description: 2014-Dec AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.15468/dl.yj694a
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vigna desmodioides R.Wilczek"
 ]
}

 The dataset includes 42 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004570-250218110819086/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.28456544
title: Supplementary Material for: Group Acceptance and Commitment Therapy versus Cognitive Behavioral Therapy/Exposure Response Prevention for Obsessive Compulsive Disorder: A Block Randomized Controlled Trial

description: Introduction: Acceptance and Commitment Therapy (ACT) may be as effective for treating Obsessive Compulsive Disorder (OCD) as the gold standard treatment, Cognitive Behavioral Therapy (CBT) with Exposure Response Prevention (ERP), but ACT has never been directly compared to CBT/ERP in a randomized control trial. Objective: This study aimed to compare the efficacy of group-based ACT and CBT/ERP in two outpatient mental health service clinics for adults with OCD. Methods: A total of 176 patients with OCD participated in a single-blinded, non-inferiority, block randomized controlled trial. Patients were assigned to either the ACT (n = 101) or CBT/ERP (n = 75) groups for 14 weekly sessions. The primary outcome was the Yale-Brown Obsessive Compulsive Scale (Y-BOCS) score at post-treatment and at the 6-months follow-up with pre-specified non-inferiority criteria. Quality of life, measured using the Quality of Life Inventory (QOLI), was the secondary outcome. Results: Linear mixed models showed that Y-BOCS scores in the ACT group were non-inferior to those in the CBT/ERP group both post-treatment and at 6, and 12-months of follow-up. QOLI scores also showed no significant differences in ACT compared to CBT/ERP across the three measurement points. Conclusions: This randomized controlled trial demonstrated that group-delivered ACT is non-inferior to CBT/ERP in reducing OCD symptoms and improving the quality of life of patients with OCD in outpatient mental health services. These findings suggest that ACT may serve as a viable alternative to CBT/ERP in adults with OCD in outpatient mental health settings, although further replication is necessary.
DOI: 10.6084/m9.figshare.28456574
title: Supplementary Material for: HBV relapse after discontinuation of Tenofovir alafenamide or Entecavir in non-cirrhotic HBeAg-negative patients

description: Background & Aims: 
This study investigated the off-therapy relapse in hepatitis B e antigen (HBeAg)-negative non-cirrhotic patients who discontinued tenofovir alafenamide (TAF) or entecavir (ETV). 
Methods: 
Non-cirrhotic HBeAg-negative patients who discontinued TAF or ETV were enrolled. The propensity score -matching method at a ratio of 1:1 and Cox proportional hazard model were performed to analyze factors associated with virological relapse and clinical relapse. 
Results: 
A total of 62 patients were analyzed. The cumulative rates of virological relapse at 12-month after discontinuing TAF and ETV were 80.4% and 60.0%, respectively. The respective rates of clinical relapse at 12-month were 48.7% and 21.1%. Multivariable Cox regression analysis showed that discontinuation of TAF (vs ETV, HR=2.279; p=0.005) and HBsAg levels at EOT (HR=1.540; p=0.005) were independently associated with virological relapse. Discontinuation of TAF (vs ETV, HR=3.003; p=0.011) was independently associated with clinical relapse. HBsAg levels at EOT (&lt;3 vs. ≥ 3 log10 IU/ml) had significant interactions with the treatment regimen (TAF vs ETV) in terms of the risk of clinical relapse after treatment cessation (p for interaction &lt;0.05).
Conclusions: 
Patients who discontinued TAF had a higher risk of virological relapse and clinical relapse than those who discontinued ETV. HBsAg levels at EOT may be an appropriate predictor to distinguish the different risks of clinical relapse between patients who have discontinued TAF or ETV.
DOI: 10.5281/zenodo.14351378
title: BioSR for LLS-SIM: Dataset of Lysosome

description: This is LLS-SIM dataset of Lysosome, which is a part of BioSR for LLS-SIM dataset (https://doi.org/10.5281/zenodo.14322457).

BioSR for LLS-SIM is a biological image dataset acquired using our home-built lattice light-sheet structured illumination microscopy (LLS-SIM). It currently includes paired diffraction-limited LLSM and LLS-SIM images of a variety of biology structures, constituting a high-quality volumetric SR dataset. The BioSR for LLS-SIM dataset originates from our paper [Qiao, C., Li, Z., Wang, Z., Lin, Y., ... & Li, D. (2024). Fast adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging. bioRxiv, 2024-05], serving as the supplementary data to execute meta-training or other proposed deep-learning-based algorithms, which provides sources for the community to try our methods, replicate our results, and develop their own methods for super-resolution lattice light-sheet microscopy.

The BioSR for LLS-SIM dataset includes 10 diverse task datasets from 10 distinct biological specimens (granular component, chromosomes, fibrillar center, fibrillarin, Lyso, MTs, F-actin in pollen tubes, inner mitochondrial membrane, ER in adherent Cos-7 cells and ER in mitotic Hela cells during metaphase). For each type of samples, we acquired raw LLS-SIM images from about 30-50 ROIs. For each ROI, five different levels of light intensity ranging from low to high fluorescence levels were acquired, and the images of the highest fluorescence level (i.e. the GT raw images) were reconstructed into high-quality GT LLS-SIM images via the conventional LLS-SIM reconstruction algorithm, which could be used as the groud truth in the training phase of deep-learning models.
DOI: 10.5281/zenodo.14904006
title: AMPERE Summary Plot Movies (2015-Jan)

description: 2015-Jan AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14904007
title: AMPERE Summary Plot Movies (2015-Jan)

description: 2015-Jan AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.6084/m9.figshare.28456574.v1
title: Supplementary Material for: HBV relapse after discontinuation of Tenofovir alafenamide or Entecavir in non-cirrhotic HBeAg-negative patients

description: Background & Aims: 
This study investigated the off-therapy relapse in hepatitis B e antigen (HBeAg)-negative non-cirrhotic patients who discontinued tenofovir alafenamide (TAF) or entecavir (ETV). 
Methods: 
Non-cirrhotic HBeAg-negative patients who discontinued TAF or ETV were enrolled. The propensity score -matching method at a ratio of 1:1 and Cox proportional hazard model were performed to analyze factors associated with virological relapse and clinical relapse. 
Results: 
A total of 62 patients were analyzed. The cumulative rates of virological relapse at 12-month after discontinuing TAF and ETV were 80.4% and 60.0%, respectively. The respective rates of clinical relapse at 12-month were 48.7% and 21.1%. Multivariable Cox regression analysis showed that discontinuation of TAF (vs ETV, HR=2.279; p=0.005) and HBsAg levels at EOT (HR=1.540; p=0.005) were independently associated with virological relapse. Discontinuation of TAF (vs ETV, HR=3.003; p=0.011) was independently associated with clinical relapse. HBsAg levels at EOT (&lt;3 vs. ≥ 3 log10 IU/ml) had significant interactions with the treatment regimen (TAF vs ETV) in terms of the risk of clinical relapse after treatment cessation (p for interaction &lt;0.05).
Conclusions: 
Patients who discontinued TAF had a higher risk of virological relapse and clinical relapse than those who discontinued ETV. HBsAg levels at EOT may be an appropriate predictor to distinguish the different risks of clinical relapse between patients who have discontinued TAF or ETV.
DOI: 10.5281/zenodo.14351377
title: BioSR for LLS-SIM: Dataset of Lysosome

description: This is LLS-SIM dataset of Lysosome, which is a part of BioSR for LLS-SIM dataset (https://doi.org/10.5281/zenodo.14322457).

BioSR for LLS-SIM is a biological image dataset acquired using our home-built lattice light-sheet structured illumination microscopy (LLS-SIM). It currently includes paired diffraction-limited LLSM and LLS-SIM images of a variety of biology structures, constituting a high-quality volumetric SR dataset. The BioSR for LLS-SIM dataset originates from our paper [Qiao, C., Li, Z., Wang, Z., Lin, Y., ... & Li, D. (2024). Fast adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging. bioRxiv, 2024-05], serving as the supplementary data to execute meta-training or other proposed deep-learning-based algorithms, which provides sources for the community to try our methods, replicate our results, and develop their own methods for super-resolution lattice light-sheet microscopy.

The BioSR for LLS-SIM dataset includes 10 diverse task datasets from 10 distinct biological specimens (granular component, chromosomes, fibrillar center, fibrillarin, Lyso, MTs, F-actin in pollen tubes, inner mitochondrial membrane, ER in adherent Cos-7 cells and ER in mitotic Hela cells during metaphase). For each type of samples, we acquired raw LLS-SIM images from about 30-50 ROIs. For each ROI, five different levels of light intensity ranging from low to high fluorescence levels were acquired, and the images of the highest fluorescence level (i.e. the GT raw images) were reconstructed into high-quality GT LLS-SIM images via the conventional LLS-SIM reconstruction algorithm, which could be used as the groud truth in the training phase of deep-learning models.
DOI: 10.5281/zenodo.14903845
title: BioSR for LLS-SIM: Dataset of Lysosome

description: This is LLS-SIM dataset of Lysosome, which is a part of BioSR for LLS-SIM dataset (https://doi.org/10.5281/zenodo.14322457).

BioSR for LLS-SIM is a biological image dataset acquired using our home-built lattice light-sheet structured illumination microscopy (LLS-SIM). It currently includes paired diffraction-limited LLSM and LLS-SIM images of a variety of biology structures, constituting a high-quality volumetric SR dataset. The BioSR for LLS-SIM dataset originates from our paper [Qiao, C., Li, Z., Wang, Z., Lin, Y., ... & Li, D. (2024). Fast adaptive super-resolution lattice light-sheet microscopy for rapid, long-term, near-isotropic subcellular imaging. bioRxiv, 2024-05], serving as the supplementary data to execute meta-training or other proposed deep-learning-based algorithms, which provides sources for the community to try our methods, replicate our results, and develop their own methods for super-resolution lattice light-sheet microscopy.

The BioSR for LLS-SIM dataset includes 10 diverse task datasets from 10 distinct biological specimens (granular component, chromosomes, fibrillar center, fibrillarin, Lyso, MTs, F-actin in pollen tubes, inner mitochondrial membrane, ER in adherent Cos-7 cells and ER in mitotic Hela cells during metaphase). For each type of samples, we acquired raw LLS-SIM images from about 30-50 ROIs. For each ROI, five different levels of light intensity ranging from low to high fluorescence levels were acquired, and the images of the highest fluorescence level (i.e. the GT raw images) were reconstructed into high-quality GT LLS-SIM images via the conventional LLS-SIM reconstruction algorithm, which could be used as the groud truth in the training phase of deep-learning models.
DOI: 10.15468/dl.e5enn4
title: Occurrence Download

description: A dataset containing 126694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Machine Observation",
 "DatasetKey is The Retrospective Analysis of Antarctic Tracking (Standardised) Data from the Scientific Committee on Antarctic Research",
 "IucnRedListCategory is NT",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 126694 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004571-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gc7bb4
title: Occurrence Download

description: A dataset containing 153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample)",
 "TaxonKey is Xylotrechus pyrrhoderus Bates, 1873"
 ]
}

 The dataset includes 153 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004576-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.