cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.az9dx8
title: Occurrence Download

description: A dataset containing 1129269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aythya valisineria, Baeolophus bicolor, Bartramia longicauda, Bombycilla cedrorum, Bombycilla garrulus)",
 "Country is Canada",
 "OccurrenceStatus is Present",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON ((-84.76571 41.22334, -58.93394 41.22334, -58.93394 49.85477, -84.76571 49.85477, -84.76571 41.22334))",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1129269 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009114-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ex4xzx
title: Occurrence Download

description: A dataset containing 17670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 17670 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009132-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17710382
title: Benchmark dataset of "Multimodal AI agents for capturing and sharing laboratory practice"

description: The benchmark dataset was created to evaluate the performance of our proteomics lab agent on two key tasks: generating protocols and detecting experimental errors. It consists of videos of a scientist performing a diverse range of proteomics workflows, from simple pipetting to complex operations involving specialized mass spectrometry equipment and software. The dataset contains two categories of videos:





Tutorial recordings of a researcher correctly performing and explaining a procedure, which serve as the basis for testing AI-assisted protocol generation.




Recordings from experiments in which a scientist intentionally made mistakes to test the agent's error-detection capabilities.
DOI: 10.5281/zenodo.17253028
title: Benchmark dataset of "Multimodal AI agents for capturing and sharing laboratory practice"

description: The benchmark dataset was created to evaluate the performance of our proteomics lab agent on two key tasks: generating protocols and detecting experimental errors. It consists of videos of a scientist performing a diverse range of proteomics workflows, from simple pipetting to complex operations involving specialized mass spectrometry equipment and software. The dataset contains two categories of videos:





Tutorial recordings of a researcher correctly performing and explaining a procedure, which serve as the basis for testing AI-assisted protocol generation.




Recordings from experiments in which a scientist intentionally made mistakes to test the agent's error-detection capabilities.
DOI: 10.6084/m9.figshare.28595468.v2
title: Supporting data for the manuscript "Dams threaten salmonids by triggering temperature-dependent disease"

description: Description of data of the study entitled "Dams threaten salmonids by triggering temperature-dependent disease" by Lauringson et al.:Fish data - all data included on sampled brown trout - ID (specimen identification nr.), river name, sampling site coordinates, Location (downstream/upstream), sampling date, total mass in grams (TM), total length in mm (TL), red blood cell estimates in mm, total blood volume estimate in mm, haematocrit (hc), haematocrit mean across three capillaries (Hc_mean) kidney thickness in mm, body thickness in mm, Kidney-to-body-thickness-ratio (K/B ratio), average cycle treshold value, parasite load in copies of Tb per μL, average water temperature between 29th of June to 22nd of August. The file also features a metadata sheet.IXO files_LightCycler480 folder - output data from .ixo files, including metadata. IXO files contain the following irrelevant samples that were excluded from the analysis (i.e. rivers without relevant upstream/downstream samples, samples with low DNA concentration, older trout): no. 146 - 163; 204 - 237; 303 - 327; 488 - 508. Plates 1 to 6 contain samples, including DNA extraction negatives (DNA neg) and qPCR negatives (NTC). Plate 7 contains synthetic dilution series of the synthetic T.bryosalmonae fragment. Temperature data - all temperature measurements (4 times per 24 hours) from 2022 (12 rivers) and 2023 (2 rivers) from both loggers per site if both loggers were intact, coordinates included.Data code folder - R script used for statistical analyses and input data in Excel spreadsheet and CSV.
DOI: 10.15468/dl.jp98d2
title: Occurrence Download

description: A dataset containing 118065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Oceania",
 "Country is Australia",
 "OccurrenceStatus is Present",
 "TaxonKey is Hakea"
 ]
}

 The dataset includes 118065 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009111-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/bbfq-6451
title: "High-Speed Bearing Fault Dataset"

description: "\"These two datasets concern the fault modes of bearing No. 3 and bearing No. 8. The time-domain signals were collected from 0 to 300 seconds.\""
DOI: 10.15468/dl.hqz3qt
title: Occurrence Download

description: A dataset containing 2719 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrus calleryana",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 2719 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009134-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jps2uz
title: Occurrence Download

description: A dataset containing 51458 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Madracis, Madracis hellana, Madracis vaughani, Madracis interjecta, Madracis incerta, Madracis crassisepta, Madracis kauaiensis macrocalyx, Madracis kauaiensis, Madracis stewarti, Madracis johnwellsi)"
 ]
}

 The dataset includes 51458 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009128-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mu27x9
title: Occurrence Download

description: A dataset containing 439 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((108.93855 11.62979,108.9272 11.60948,108.91286 11.49835,109.01122 11.49725,109.07495 11.58396,109.07477 11.62422,108.93855 11.62979))",
 "Geometry POLYGON((108.71892 11.7007,108.86652 11.7007,108.86652 11.82272,108.71892 11.82272,108.71892 11.7007))"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 439 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009136-251120083545085/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.30718985
title: Supplementary Material for: Even number bias in pulse oximetry measurements in hospitals in Denmark and the United Kingdom: an observational study

description: Background: It is not known if pulse oximetry oxygen saturation measurements (SpO2) are subject to even number bias and boundary effects which have been reported for other physiological measurements. 
Methods: We reviewed three large SpO2 datasets from two countries for even-number bias: 3,351,981 continuous automated SpO2 entries in Denmark (DK-continuous), 7,602,352 manual SpO2 entries in Denmark (DK-manual) and 949,718 manual SpO2 entries in the UK (UK-manual). 
Results: Even-numbered SpO2 entries were commoner than odd numbers in all three datasets. Even numbers accounted for 50.6% of DK-continuous entries (95% CI 50.6-50.7), 57.5% of DK-manual entries (95% CI 57.4-57.6), and 59.7% of UK-manual entries (95% CI 59.6-59.8): DK-manual vs. DK-continuous, RR: 1.14, 95%CI: 1.13-1.14, p&lt;0.0001; UK-manual vs. DK-continuous RR 1.18, 95%CI: 1.18-1.18, p&lt;0.0001. The even-number bias was more pronounced in UK-medical patients for whom 64.9% of SpO2 entries had even numbers (UK-manual medical entries vs. DK-continuous medical entries RR 1.29, 95%CI: 1.29-1.30, p&lt;0.0001). The proportion of even SpO2 numbers was particularly high (67.0%; 95% CI 66.5-67.5%) for UK-medical patients who were using supplemental oxygen. 
Conclusions: We identified even number bias in routine pulse oximetry entries in the UK and Denmark. The bias was substantially greater for manually collected data than for automated continuous data. The high degree of even number bias in patients who were receiving supplemental oxygen suggests that the SpO2 might be rounded to meet target saturation range or Early Warning Score boundaries. This bias could influence patient management and clinical outcomes.
DOI: 10.6084/m9.figshare.30718985.v1
title: Supplementary Material for: Even number bias in pulse oximetry measurements in hospitals in Denmark and the United Kingdom: an observational study

description: Background: It is not known if pulse oximetry oxygen saturation measurements (SpO2) are subject to even number bias and boundary effects which have been reported for other physiological measurements. 
Methods: We reviewed three large SpO2 datasets from two countries for even-number bias: 3,351,981 continuous automated SpO2 entries in Denmark (DK-continuous), 7,602,352 manual SpO2 entries in Denmark (DK-manual) and 949,718 manual SpO2 entries in the UK (UK-manual). 
Results: Even-numbered SpO2 entries were commoner than odd numbers in all three datasets. Even numbers accounted for 50.6% of DK-continuous entries (95% CI 50.6-50.7), 57.5% of DK-manual entries (95% CI 57.4-57.6), and 59.7% of UK-manual entries (95% CI 59.6-59.8): DK-manual vs. DK-continuous, RR: 1.14, 95%CI: 1.13-1.14, p&lt;0.0001; UK-manual vs. DK-continuous RR 1.18, 95%CI: 1.18-1.18, p&lt;0.0001. The even-number bias was more pronounced in UK-medical patients for whom 64.9% of SpO2 entries had even numbers (UK-manual medical entries vs. DK-continuous medical entries RR 1.29, 95%CI: 1.29-1.30, p&lt;0.0001). The proportion of even SpO2 numbers was particularly high (67.0%; 95% CI 66.5-67.5%) for UK-medical patients who were using supplemental oxygen. 
Conclusions: We identified even number bias in routine pulse oximetry entries in the UK and Denmark. The bias was substantially greater for manually collected data than for automated continuous data. The high degree of even number bias in patients who were receiving supplemental oxygen suggests that the SpO2 might be rounded to meet target saturation range or Early Warning Score boundaries. This bias could influence patient management and clinical outcomes.
DOI: 10.6084/m9.figshare.30718988
title: Supplementary Material for: CAPOS and Beyond: ATP1A3 Variants in Pediatric Movement Disorders: Case Reports

description: Introduction: ATP1A3-related disorders encompass a clinically heterogeneous spectrum that includes previously defined dominantly inherited phenotypes such as Alternating Hemiplegia of Childhood (AHC), Rapid-Onset Dystonia-Parkinsonism (RDP), and cerebellar ataxia, areflexia, pes cavus, optic atrophy, and sensorineural hearing loss syndrome (CAPOS), as well as more complex and overlapping presentations. 
Case presentation: In this study, we present two pediatric cases that expand the phenotypic and genotypic spectrum of ATP1A3-associated disease. Both patients presented with ‘Guillain-Barré syndrome (GBS)-like episodes’ characterized by acute-onset encephalopathy, ataxia, areflexia, and sensorimotor deterioration following febrile infections. Prominent paroxysmal postural abnormalities and dystonia were noted in both cases; however, the overall clinical features blurred the classical boundaries between CAPOS and other ATP1A3-associated phenotypes. The first patient carried the previously reported a heterozygous ATP1A3(NM_001256214.2):c.2491G&gt;A(p.Glu831Lys) variant, classically associated with CAPOS, and also exhibited sensorineural hearing loss with a positive family history. The second patient harbored a novel ATP1A3(NM_152296.5):c.2266C&gt;T p.(Arg756Cys)(Clinvar: VCV000425189.38)variant and displayed oculomotor apraxia and chorea during episodes. 
Conclusion: These cases underscore the importance of considering ATP1A3 variants in children presenting with GBS-like features, infection-triggered neurological attacks, and mixed movement disorders. Our findings highlight the diagnostic value of genetic testing in atypical neuroregression syndromes and contribute to the recognition of “blended” ATP1A3 phenotypes beyond classical diagnostic entities. The novel pathogenic variant further supports ongoing efforts to refine genotype–phenotype correlations within this evolving group of neurological disorders.
DOI: 10.6084/m9.figshare.30718988.v1
title: Supplementary Material for: CAPOS and Beyond: ATP1A3 Variants in Pediatric Movement Disorders: Case Reports

description: Introduction: ATP1A3-related disorders encompass a clinically heterogeneous spectrum that includes previously defined dominantly inherited phenotypes such as Alternating Hemiplegia of Childhood (AHC), Rapid-Onset Dystonia-Parkinsonism (RDP), and cerebellar ataxia, areflexia, pes cavus, optic atrophy, and sensorineural hearing loss syndrome (CAPOS), as well as more complex and overlapping presentations. 
Case presentation: In this study, we present two pediatric cases that expand the phenotypic and genotypic spectrum of ATP1A3-associated disease. Both patients presented with ‘Guillain-Barré syndrome (GBS)-like episodes’ characterized by acute-onset encephalopathy, ataxia, areflexia, and sensorimotor deterioration following febrile infections. Prominent paroxysmal postural abnormalities and dystonia were noted in both cases; however, the overall clinical features blurred the classical boundaries between CAPOS and other ATP1A3-associated phenotypes. The first patient carried the previously reported a heterozygous ATP1A3(NM_001256214.2):c.2491G&gt;A(p.Glu831Lys) variant, classically associated with CAPOS, and also exhibited sensorineural hearing loss with a positive family history. The second patient harbored a novel ATP1A3(NM_152296.5):c.2266C&gt;T p.(Arg756Cys)(Clinvar: VCV000425189.38)variant and displayed oculomotor apraxia and chorea during episodes. 
Conclusion: These cases underscore the importance of considering ATP1A3 variants in children presenting with GBS-like features, infection-triggered neurological attacks, and mixed movement disorders. Our findings highlight the diagnostic value of genetic testing in atypical neuroregression syndromes and contribute to the recognition of “blended” ATP1A3 phenotypes beyond classical diagnostic entities. The novel pathogenic variant further supports ongoing efforts to refine genotype–phenotype correlations within this evolving group of neurological disorders.
DOI: 10.6084/m9.figshare.30718991
title: Supplementary Material for: An Online Machine Learning Algorithm-Based Prognostic Predictive Model for Maintenance Hemodialysis Patients

description: Background: High mortality rates in maintenance hemodialysis (MHD) patients necessitate precise predictive tools. Existing models lack accuracy and ease of clinical access. This study focuses on constructing a precise and user-friendly machine learning-based mortality risk predictive model for MHD patients.
Methods: A total of 601 MHD patients from Shantou Central Hospital were enrolled in this study. Clinical and laboratory data were meticulously gathered and assessed. Patients were divided randomly into Training (70%) and Test cohort (30%). Six types of machine learning algorithms based predictive models were constructed for prognostic prediction. The predictive accuracy of the model was evaluated by calculating the area under the receiver operating characteristic curve (AUROC) and the area under the precision recall curve (AUPRC). Additionally, an online predictive model application was developed for practical clinical application.
Results: The Training and Test cohort exhibited comparable demographic and clinical traits. Age, BMI, HGB, CH, AST, and serum albumin levels emerged as significant independent predictors of prognosis. The Extreme Gradient Boosting (XGBoost) based model predictive performance measures included with AUROC 0.831 and AUPRC 0.310 in the Test cohort. The XGBoost based model was selected as the definitive predictive tool and was made accessible via a web application.
Conclusion: We successfully developed a machine learning-driven predictive model to predict the risk factors of MHD patients, which was then integrated into a user-friendly web application. This predictive tool could help to identify the high-risk factors of MHD patients in clinical practices.
DOI: 10.6084/m9.figshare.30718991.v1
title: Supplementary Material for: An Online Machine Learning Algorithm-Based Prognostic Predictive Model for Maintenance Hemodialysis Patients

description: Background: High mortality rates in maintenance hemodialysis (MHD) patients necessitate precise predictive tools. Existing models lack accuracy and ease of clinical access. This study focuses on constructing a precise and user-friendly machine learning-based mortality risk predictive model for MHD patients.
Methods: A total of 601 MHD patients from Shantou Central Hospital were enrolled in this study. Clinical and laboratory data were meticulously gathered and assessed. Patients were divided randomly into Training (70%) and Test cohort (30%). Six types of machine learning algorithms based predictive models were constructed for prognostic prediction. The predictive accuracy of the model was evaluated by calculating the area under the receiver operating characteristic curve (AUROC) and the area under the precision recall curve (AUPRC). Additionally, an online predictive model application was developed for practical clinical application.
Results: The Training and Test cohort exhibited comparable demographic and clinical traits. Age, BMI, HGB, CH, AST, and serum albumin levels emerged as significant independent predictors of prognosis. The Extreme Gradient Boosting (XGBoost) based model predictive performance measures included with AUROC 0.831 and AUPRC 0.310 in the Test cohort. The XGBoost based model was selected as the definitive predictive tool and was made accessible via a web application.
Conclusion: We successfully developed a machine learning-driven predictive model to predict the risk factors of MHD patients, which was then integrated into a user-friendly web application. This predictive tool could help to identify the high-risk factors of MHD patients in clinical practices.
DOI: 10.6084/m9.figshare.30718994
title: Supplementary Material for: HYBRID LUNG VOLUME REDUCTION: A CASE SERIES ON COMBINING SURGICAL AND BRONCHOSCOPIC TREATMENT

description: Introduction
Well-selected patients with advanced emphysema and hyperinflation benefit from lung volume reduction (LVR), including bronchoscopic LVR with endobronchial valves (EBV) and lung volume reduction surgery (LVRS). As bilateral EBV placement may not be advisable, an alternative approach is required. This prospective case series evaluates hybrid LVR, where contralateral LVRS is performed for patients with functional decline despite persistent atelectasis post-EBV.

Case presentation
Six patients underwent hybrid LVR with a median baseline pre-EBV FEV1 of 750 ml (range, 430-880), RV of 226% (187-293) and 6MWD of 342 meters (245-378). Baseline SGRQ was 70 points (47-86). Time between EBV and LVRS was 698.5 days (403-1027), and all had persistent atelectasis at the time of contralateral LVRS. Post-LVRS hospital stay was 5.5 days (2-44), with complications in two patients (chest tube replacement, arrhythmia requiring upgrade to intensive care unit). There was no 90-day mortality. Compared to pre-EBV, six months post-LVRS, FEV1 improved by 80 ml (-20-410), RV decreased by 1000 ml (740-1870), 6MWD increased by 59.5 meters (-65-123), and SGRQ dropped by 11.5 points (-33-19). 

Conclusion
This case series on hybrid LVR demonstrates its potential to improve lung function and quality of life in selected patients who experience a deterioration in lung function following successful EBV placement.
DOI: 10.6084/m9.figshare.30718994.v1
title: Supplementary Material for: HYBRID LUNG VOLUME REDUCTION: A CASE SERIES ON COMBINING SURGICAL AND BRONCHOSCOPIC TREATMENT

description: Introduction
Well-selected patients with advanced emphysema and hyperinflation benefit from lung volume reduction (LVR), including bronchoscopic LVR with endobronchial valves (EBV) and lung volume reduction surgery (LVRS). As bilateral EBV placement may not be advisable, an alternative approach is required. This prospective case series evaluates hybrid LVR, where contralateral LVRS is performed for patients with functional decline despite persistent atelectasis post-EBV.

Case presentation
Six patients underwent hybrid LVR with a median baseline pre-EBV FEV1 of 750 ml (range, 430-880), RV of 226% (187-293) and 6MWD of 342 meters (245-378). Baseline SGRQ was 70 points (47-86). Time between EBV and LVRS was 698.5 days (403-1027), and all had persistent atelectasis at the time of contralateral LVRS. Post-LVRS hospital stay was 5.5 days (2-44), with complications in two patients (chest tube replacement, arrhythmia requiring upgrade to intensive care unit). There was no 90-day mortality. Compared to pre-EBV, six months post-LVRS, FEV1 improved by 80 ml (-20-410), RV decreased by 1000 ml (740-1870), 6MWD increased by 59.5 meters (-65-123), and SGRQ dropped by 11.5 points (-33-19). 

Conclusion
This case series on hybrid LVR demonstrates its potential to improve lung function and quality of life in selected patients who experience a deterioration in lung function following successful EBV placement.