cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26342065.v1
title: Supplementary Material for: Sodium-glucose co-transporter-2 inhibitors use in patients with reduced kidney function hospitalized for fluid overload and heart failure: an observational study

description: Introduction: Sodium-glucose co-transporter-2 inhibitors (SGLT2i) is recommended in kidney disease and heart failure to reduce adverse clinical outcomes, but utilization can vary. To understand potential gaps in clinical practice and identify opportunities for improvement, we aimed to describe the prevalence and factors associated with SGLT2i prescription in patients with reduced kidney function hospitalized for fluid overload and/or heart failure.
Methods: Single-center observational study of patients with reduced kidney function (eGFR 20-59 ml/min/1.73 m2) hospitalized for fluid overload or heart failure between January 2022 and December 2023. Data was retrieved from electronic medical records. The outcome was SGLT2i prescription at discharge. Potential variables affecting SGLT2i prescription were identified during stakeholder engagement and evaluated using multivariable logistic regression.
Results: Among 2543 patients, the median age was 79 (71, 86) years and admission eGFR was 38.7 (28.4, 49.4) ml/min/1.73 m2. SGLT2i was prescribed to 630 (24.8%) patients at discharge. SGLT2i prescription at discharge was independently associated with cardiovascular disease (OR 1.76, 95% CI 1.31-2.35), diabetes (OR 1.59, 95% CI: 1.19-2.14), fluid overload or heart failure as the primary discharge diagnosis (OR 1.71, 95% CI: 1.29-2.28), SGLT2i pre-hospitalization (OR 104.91, 95% CI: 63.22-174.08), RAS blocker (OR 2.1, 95% CI: 1.65-2.89) and higher eGFR (OR 1.01, 95% CI: 1.003-1.02) at discharge; but inversely associated with older age (OR 0.97, 95% CI 0.96-0.98).
Conclusion: SGLT2i prescription at discharge was suboptimal among patients with reduced kidney function hospitalized for fluid overload and/or heart failure, especially in older age and more severe kidney disease. Additionally, cardiovascular disease, diabetes, primary discharge diagnosis of fluid overload or heart failure, prior SGLT2i use and concurrent RAS blocker at discharge were independently associated with SGLT2i prescription at discharge. Interventions are needed to increase clinicians’ knowledge and overcome clinical inertia to increase SGLT2i use in patients with fluid overload and heart failure.
DOI: 10.15468/dl.pb7z9u
title: Occurrence Download

description: A dataset containing 2550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Atraphaxis L."
 ]
}

 The dataset includes 2550 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107221-240626123714530/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.26868418
title: Supplementary Material for: Unusual Synchronous Multiple Primary Early-Stage Lung Adenocarcinoma with Concomitant MET Exon 14 Skipping, PIK3CA and KRAS Mutations: A Case Report

description: <b><i>Instruction:</i></b> Synchronous multiple primary lung cancer (sMPLC) constitutes a distinct subtype of NSCLC, where accurate diagnosis and prognostic evaluation remain challenging. <b><i>Case Presentation:</i></b> The case involves a 70-year-old male patient admitted to the hospital due to bilateral pulmonary nodules. The patient underwent staged resection. Molecular pathological examination revealed that tumor A harbored concurrent mutations in MET exon 14 skipping and PIK3CA (p.E545K), while tumor B exhibited a KRAS exon 2 (p.G12S/D) mutation. Postoperatively, the patient demonstrated a favorable recovery, with no evidence of recurrence for 1 year. <b><i>Conclusion:</i></b> This study presents a case of sMPLC in early-stage lung cancer, illustrating the genetic heterogeneity in early-stage lung adenocarcinoma and underscoring the significance of precise evaluation of sMPLC and intrapulmonary metastases.
DOI: 10.6084/m9.figshare.26868418.v1
title: Supplementary Material for: Unusual Synchronous Multiple Primary Early-Stage Lung Adenocarcinoma with Concomitant MET Exon 14 Skipping, PIK3CA and KRAS Mutations: A Case Report

description: <b><i>Instruction:</i></b> Synchronous multiple primary lung cancer (sMPLC) constitutes a distinct subtype of NSCLC, where accurate diagnosis and prognostic evaluation remain challenging. <b><i>Case Presentation:</i></b> The case involves a 70-year-old male patient admitted to the hospital due to bilateral pulmonary nodules. The patient underwent staged resection. Molecular pathological examination revealed that tumor A harbored concurrent mutations in MET exon 14 skipping and PIK3CA (p.E545K), while tumor B exhibited a KRAS exon 2 (p.G12S/D) mutation. Postoperatively, the patient demonstrated a favorable recovery, with no evidence of recurrence for 1 year. <b><i>Conclusion:</i></b> This study presents a case of sMPLC in early-stage lung cancer, illustrating the genetic heterogeneity in early-stage lung adenocarcinoma and underscoring the significance of precise evaluation of sMPLC and intrapulmonary metastases.
DOI: 10.15468/dl.5p9vut
title: Occurrence Download

description: A dataset containing 23132 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus tereticornis Sm."
 ]
}

 The dataset includes 23132 records from 252 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107219-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13370800
title: Three Annotated Anomaly Detection Datasets for Line-Scan Algorithms

description: Summary

This dataset contains two hyperspectral and one multispectral anomaly detection images, and their corresponding binary pixel masks. They were initially used for real-time anomaly detection in line-scanning, but they can be used for any anomaly detection task.

They are in .npy file format (will add tiff or geotiff variants in the future), with the image datasets being in the order of (height, width, channels). The SNP dataset was collected using sentinelhub, and the Synthetic dataset was collected from AVIRIS. The Python code used to analyse these datasets can be found at: https://github.com/WiseGamgee/HyperAD

How to Get Started

All that is needed to load these datasets is Python (preferably 3.8+) and the NumPy package. Example code for loading the Beach Dataset if you put it in a folder called "data" with the python script is:

import numpy as np

# Load image file
hsi_array = np.load("data/beach_hsi.npy")
n_pixels, n_lines, n_bands = hsi_array.shape
print(f"This dataset has {n_pixels} pixels, {n_lines} lines, and {n_bands}.")

# Load image mask
mask_array = np.load("data/beach_mask.npy")
m_pixels, m_lines = mask_array.shape
print(f"The corresponding anomaly mask is {m_pixels} pixels by {m_lines} lines.")

Citing the Datasets

If you use any of these datasets, please cite the following paper:

@article{garske2024erx,  title={ERX - a Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line-Scanning},  author={Garske, Samuel and Evans, Bradley and Artlett, Christopher and Wong, KC},  journal={arXiv preprint arXiv:2408.14947},  year={2024},}



If you use the beach dataset please cite the following paper as well (original source):


@article{mao2022openhsi,
  title={OpenHSI: A complete open-source hyperspectral imaging solution for everyone},
  author={Mao, Yiwei and Betters, Christopher H and Evans, Bradley and Artlett, Christopher P and Leon-Saval, Sergio G and Garske, Samuel and Cairns, Iver H and Cocks, Terry and Winter, Robert and Dell, Timothy},
  journal={Remote Sensing},
  volume={14},
  number={9},
  pages={2244},
  year={2022},
  publisher={MDPI}
}
DOI: 10.5281/zenodo.13370799
title: Three Annotated Anomaly Detection Datasets for Line-Scan Algorithms

description: Summary

This dataset contains two hyperspectral and one multispectral anomaly detection images, and their corresponding binary pixel masks. They were initially used for real-time anomaly detection in line-scanning, but they can be used for any anomaly detection task.

They are in .npy file format (will add tiff or geotiff variants in the future), with the image datasets being in the order of (height, width, channels). The SNP dataset was collected using sentinelhub, and the Synthetic dataset was collected from AVIRIS. The Python code used to analyse these datasets can be found at: https://github.com/WiseGamgee/HyperAD

How to Get Started

All that is needed to load these datasets is Python (preferably 3.8+) and the NumPy package. Example code for loading the Beach Dataset if you put it in a folder called "data" with the python script is:

import numpy as np

# Load image file
hsi_array = np.load("data/beach_hsi.npy")
n_pixels, n_lines, n_bands = hsi_array.shape
print(f"This dataset has {n_pixels} pixels, {n_lines} lines, and {n_bands}.")

# Load image mask
mask_array = np.load("data/beach_mask.npy")
m_pixels, m_lines = mask_array.shape
print(f"The corresponding anomaly mask is {m_pixels} pixels by {m_lines} lines.")

Citing the Datasets

If you use any of these datasets, please cite the following paper:

@article{garske2024erx,  title={ERX - a Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line-Scanning},  author={Garske, Samuel and Evans, Bradley and Artlett, Christopher and Wong, KC},  journal={arXiv preprint arXiv:2408.14947},  year={2024},}



If you use the beach dataset please cite the following paper as well (original source):


@article{mao2022openhsi,
  title={OpenHSI: A complete open-source hyperspectral imaging solution for everyone},
  author={Mao, Yiwei and Betters, Christopher H and Evans, Bradley and Artlett, Christopher P and Leon-Saval, Sergio G and Garske, Samuel and Cairns, Iver H and Cocks, Terry and Winter, Robert and Dell, Timothy},
  journal={Remote Sensing},
  volume={14},
  number={9},
  pages={2244},
  year={2022},
  publisher={MDPI}
}
DOI: 10.6084/m9.figshare.26342065
title: Supplementary Material for: Sodium-glucose co-transporter-2 inhibitors use in patients with reduced kidney function hospitalized for fluid overload and heart failure: an observational study

description: Introduction: Sodium-glucose co-transporter-2 inhibitors (SGLT2i) is recommended in kidney disease and heart failure to reduce adverse clinical outcomes, but utilization can vary. To understand potential gaps in clinical practice and identify opportunities for improvement, we aimed to describe the prevalence and factors associated with SGLT2i prescription in patients with reduced kidney function hospitalized for fluid overload and/or heart failure.
Methods: Single-center observational study of patients with reduced kidney function (eGFR 20-59 ml/min/1.73 m2) hospitalized for fluid overload or heart failure between January 2022 and December 2023. Data was retrieved from electronic medical records. The outcome was SGLT2i prescription at discharge. Potential variables affecting SGLT2i prescription were identified during stakeholder engagement and evaluated using multivariable logistic regression.
Results: Among 2543 patients, the median age was 79 (71, 86) years and admission eGFR was 38.7 (28.4, 49.4) ml/min/1.73 m2. SGLT2i was prescribed to 630 (24.8%) patients at discharge. SGLT2i prescription at discharge was independently associated with cardiovascular disease (OR 1.76, 95% CI 1.31-2.35), diabetes (OR 1.59, 95% CI: 1.19-2.14), fluid overload or heart failure as the primary discharge diagnosis (OR 1.71, 95% CI: 1.29-2.28), SGLT2i pre-hospitalization (OR 104.91, 95% CI: 63.22-174.08), RAS blocker (OR 2.1, 95% CI: 1.65-2.89) and higher eGFR (OR 1.01, 95% CI: 1.003-1.02) at discharge; but inversely associated with older age (OR 0.97, 95% CI 0.96-0.98).
Conclusion: SGLT2i prescription at discharge was suboptimal among patients with reduced kidney function hospitalized for fluid overload and/or heart failure, especially in older age and more severe kidney disease. Additionally, cardiovascular disease, diabetes, primary discharge diagnosis of fluid overload or heart failure, prior SGLT2i use and concurrent RAS blocker at discharge were independently associated with SGLT2i prescription at discharge. Interventions are needed to increase clinicians’ knowledge and overcome clinical inertia to increase SGLT2i use in patients with fluid overload and heart failure.
DOI: 10.6084/m9.figshare.26342065.v3
title: Supplementary Material for: Sodium-glucose co-transporter-2 inhibitors use in patients with reduced kidney function hospitalized for fluid overload and heart failure: an observational study

description: Introduction: Sodium-glucose co-transporter-2 inhibitors (SGLT2i) is recommended in kidney disease and heart failure to reduce adverse clinical outcomes, but utilization can vary. To understand potential gaps in clinical practice and identify opportunities for improvement, we aimed to describe the prevalence and factors associated with SGLT2i prescription in patients with reduced kidney function hospitalized for fluid overload and/or heart failure.
Methods: Single-center observational study of patients with reduced kidney function (eGFR 20-59 ml/min/1.73 m2) hospitalized for fluid overload or heart failure between January 2022 and December 2023. Data was retrieved from electronic medical records. The outcome was SGLT2i prescription at discharge. Potential variables affecting SGLT2i prescription were identified during stakeholder engagement and evaluated using multivariable logistic regression.
Results: Among 2543 patients, the median age was 79 (71, 86) years and admission eGFR was 38.7 (28.4, 49.4) ml/min/1.73 m2. SGLT2i was prescribed to 630 (24.8%) patients at discharge. SGLT2i prescription at discharge was independently associated with cardiovascular disease (OR 1.76, 95% CI 1.31-2.35), diabetes (OR 1.59, 95% CI: 1.19-2.14), fluid overload or heart failure as the primary discharge diagnosis (OR 1.71, 95% CI: 1.29-2.28), SGLT2i pre-hospitalization (OR 104.91, 95% CI: 63.22-174.08), RAS blocker (OR 2.1, 95% CI: 1.65-2.89) and higher eGFR (OR 1.01, 95% CI: 1.003-1.02) at discharge; but inversely associated with older age (OR 0.97, 95% CI 0.96-0.98).
Conclusion: SGLT2i prescription at discharge was suboptimal among patients with reduced kidney function hospitalized for fluid overload and/or heart failure, especially in older age and more severe kidney disease. Additionally, cardiovascular disease, diabetes, primary discharge diagnosis of fluid overload or heart failure, prior SGLT2i use and concurrent RAS blocker at discharge were independently associated with SGLT2i prescription at discharge. Interventions are needed to increase clinicians’ knowledge and overcome clinical inertia to increase SGLT2i use in patients with fluid overload and heart failure.
DOI: 10.6084/m9.figshare.26342065.v2
title: Supplementary Material for: Sodium-glucose co-transporter-2 inhibitors use in patients with reduced kidney function hospitalized for fluid overload and heart failure: an observational study

description: Introduction: Sodium-glucose co-transporter-2 inhibitors (SGLT2i) is recommended in kidney disease and heart failure to reduce adverse clinical outcomes, but utilization can vary. To understand potential gaps in clinical practice and identify opportunities for improvement, we aimed to describe the prevalence and factors associated with SGLT2i prescription in patients with reduced kidney function hospitalized for fluid overload and/or heart failure.
Methods: Single-center observational study of patients with reduced kidney function (eGFR 20-59 ml/min/1.73 m2) hospitalized for fluid overload or heart failure between January 2022 and December 2023. Data was retrieved from electronic medical records. The outcome was SGLT2i prescription at discharge. Potential variables affecting SGLT2i prescription were identified during stakeholder engagement and evaluated using multivariable logistic regression.
Results: Among 2543 patients, the median age was 79 (71, 86) years and admission eGFR was 38.7 (28.4, 49.4) ml/min/1.73 m2. SGLT2i was prescribed to 630 (24.8%) patients at discharge. SGLT2i prescription at discharge was independently associated with cardiovascular disease (OR 1.76, 95% CI 1.31-2.35), diabetes (OR 1.59, 95% CI: 1.19-2.14), fluid overload or heart failure as the primary discharge diagnosis (OR 1.71, 95% CI: 1.29-2.28), SGLT2i pre-hospitalization (OR 104.91, 95% CI: 63.22-174.08), RAS blocker (OR 2.1, 95% CI: 1.65-2.89) and higher eGFR (OR 1.01, 95% CI: 1.003-1.02) at discharge; but inversely associated with older age (OR 0.97, 95% CI 0.96-0.98).
Conclusion: SGLT2i prescription at discharge was suboptimal among patients with reduced kidney function hospitalized for fluid overload and/or heart failure, especially in older age and more severe kidney disease. Additionally, cardiovascular disease, diabetes, primary discharge diagnosis of fluid overload or heart failure, prior SGLT2i use and concurrent RAS blocker at discharge were independently associated with SGLT2i prescription at discharge. Interventions are needed to increase clinicians’ knowledge and overcome clinical inertia to increase SGLT2i use in patients with fluid overload and heart failure.
DOI: 10.5281/zenodo.13439263
title: Dataset for Role of Initial Particle Deposition in Dataset for Collapse Dynamics and Deposition Morphology of Submarine Granular Flows using CFD-DEM Coupling Method
DOI: 10.5281/zenodo.13439264
title: Dataset for Role of Initial Particle Deposition in Dataset for Collapse Dynamics and Deposition Morphology of Submarine Granular Flows using CFD-DEM Coupling Method
DOI: 10.5281/zenodo.10597417
title: Linked collectors and determiners for: Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae).

description: Natural history specimen data linked to collectors and determiners held within, "Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f. Formatted as a Frictionless Data package.
DOI: 10.15468/dl.3ksz5f
title: Occurrence Download

description: A dataset containing 11575 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Aria (Pers.) Host"
 ]
}

 The dataset includes 11575 records from 238 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107222-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10509912
title: Linked collectors and determiners for: Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae).

description: Natural history specimen data linked to collectors and determiners held within, "Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10713658
title: Linked collectors and determiners for: Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae).

description: Natural history specimen data linked to collectors and determiners held within, "Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.11230621
title: Linked collectors and determiners for: Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae).

description: Natural history specimen data linked to collectors and determiners held within, "Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.12621509
title: Linked collectors and determiners for: Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae).

description: Natural history specimen data linked to collectors and determiners held within, "Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10881639
title: Linked collectors and determiners for: Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae).

description: Natural history specimen data linked to collectors and determiners held within, "Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.11056610
title: Linked collectors and determiners for: Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae).

description: Natural history specimen data linked to collectors and determiners held within, "Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.13130855
title: Linked collectors and determiners for: Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae).

description: Natural history specimen data linked to collectors and determiners held within, "Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.13439832
title: Linked collectors and determiners for: Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae).

description: Natural history specimen data linked to collectors and determiners held within, "Taxonomic Revision of Cuphea sect. Trispermum s. l. (Lythraceae)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/2ae40be4-e2c3-4d5f-a6c2-964905cf110f. Formatted as a Frictionless Data package.