cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3xw99z
title: Occurrence Download

description: A dataset containing 483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Amaranthus dubius Mart."
 ]
}

 The dataset includes 483 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033349-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14442026
title: Ionic Thermoelectric-Powered Resistive Sensors

description: Dataset for publised paper : Ionic Thermoelectric-Powered Resistive Sensors
DOI: 10.5281/zenodo.14442027
title: Ionic Thermoelectric-Powered Resistive Sensors

description: Dataset for publised paper : Ionic Thermoelectric-Powered Resistive Sensors
DOI: 10.17632/44htzjcgsz.4
title: Test dataset for: "Automated diagnosis of atrial fibrillation in 24-hour Holter recording based on deep learning：a study with randomized and real-world data validation"

description: This test dataset comprised of 800 24-hour Holter recordings from the test set of the randomized clinical cohort in the paper. Each recording includes the RR-interval data that are extracted from a 24-hour dynamic 12-lead ECG recording captured by a Holter machine (DMS Holter Company, Stateline, NV, USA) at three campuses (Main Campus, Optical Valley Campus, and Sino-French New City Campus) of the Cardiac Function Examination Center (Division of Cardiology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China). All the data were initially interpreted by primary cardiologists, then were further reviewed by three senior board-certified cardiologists to ensure the correctness of the base diagnostic labels. The cardiologist committees discussed by consensus the annotated records and provided a reference standard for model evaluation. Each atrial fibrillation(AF) episode included the accurately labeled start time and end time for patients with paroxysmal AF (PAF). The start and end times of each PAF episode were the corresponding time of the first atrial wave with an atrial rate greater than 350 beats/min and the corresponding time of the first P-wave with sinus rhythm after the termination of AF. Specifically, PAF episodes lasting more than 30 s were accurately labeled, and those lasting less than 30 s were labeled as accurately as possible. Moreover, each interval of premature beat or tachycardia was marked as “A” (atrium event) or “V” (ventricle event), and the long RR interval caused by QRS wave dropping was marked as “B” to further label Second-degree atrioventricular block. The 800 recordings included 200 whole-course AF (WAF), 200 PAF and 400 NAF recordings. For WAF patient data, whole recording included only AF signals. For NAF patients, the entire recording data had no AF signals but included normal sinus rhythm, sinus arrhythmia, atrial arrhythmia, ventricular arrhythmia, atrioventricular block and so on. The data of PAF patients included both AF episodes and NAF signals. Both WAF and PAF patients were considered to be AF patients.  The type of each recording is indicated by its file name and the comments on the contents can be seen in the picture "Note.jpg".
We have uploaded all the 800 files to the system, however, for unknown reasons, only 300 files can be downloaded. We have contacted with the technical support of the Mendeley to solve this problem, if you want to use the full 800 files before the problem is solved, you can contact with this email "hustzp@hust.edu.cn".
DOI: 10.15468/dl.s6cjku
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chlorophytum arundinaceum Baker"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033352-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/44htzjcgsz.1
title: Test dataset for: "Automated diagnosis of atrial fibrillation in 24-hour Holter recording based on deep learning：a study with randomized and real-world data validation"

description: This test dataset comprised of 800 24-hour Holter recordings from the test set of the randomized clinical cohort in the paper. Each recording includes the RR-interval data that are extracted from a 24-hour dynamic 12-lead ECG recording captured by a Holter machine (DMS Holter Company, Stateline, NV, USA) at three campuses (Main Campus, Optical Valley Campus, and Sino-French New City Campus) of the Cardiac Function Examination Center (Division of Cardiology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China). All the data were initially interpreted by primary cardiologists, then were further reviewed by three senior board-certified cardiologists to ensure the correctness of the base diagnostic labels. The cardiologist committees discussed by consensus the annotated records and provided a reference standard for model evaluation. Each atrial fibrillation(AF) episode included the accurately labeled start time and end time for patients with paroxysmal AF (PAF). The start and end times of each PAF episode were the corresponding time of the first atrial wave with an atrial rate greater than 350 beats/min and the corresponding time of the first P-wave with sinus rhythm after the termination of AF. Specifically, PAF episodes lasting more than 30 s were accurately labeled, and those lasting less than 30 s were labeled as accurately as possible. Moreover, each interval of premature beat or tachycardia was marked as “A” (atrium event) or “V” (ventricle event), and the long RR interval caused by QRS wave dropping was marked as “B” to further label Second-degree atrioventricular block. The 800 recordings included 200 whole-course AF (WAF), 200 PAF and 400 NAF recordings. For WAF patient data, whole recording included only AF signals. For NAF patients, the entire recording data had no AF signals but included normal sinus rhythm, sinus arrhythmia, atrial arrhythmia, ventricular arrhythmia, atrioventricular block and so on. The data of PAF patients included both AF episodes and NAF signals. Both WAF and PAF patients were considered to be AF patients.  The type of each recording is indicated by its file name and the comments on the contents can be seen in the picture "Note.jpg".
DOI: 10.17632/44htzjcgsz.2
title: Test dataset for: "Automated diagnosis of atrial fibrillation in 24-hour Holter recording based on deep learning：a study with randomized and real-world data validation"

description: This test dataset comprised of 800 24-hour Holter recordings from the test set of the randomized clinical cohort in the paper. Each recording includes the RR-interval data that are extracted from a 24-hour dynamic 12-lead ECG recording captured by a Holter machine (DMS Holter Company, Stateline, NV, USA) at three campuses (Main Campus, Optical Valley Campus, and Sino-French New City Campus) of the Cardiac Function Examination Center (Division of Cardiology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China). All the data were initially interpreted by primary cardiologists, then were further reviewed by three senior board-certified cardiologists to ensure the correctness of the base diagnostic labels. The cardiologist committees discussed by consensus the annotated records and provided a reference standard for model evaluation. Each atrial fibrillation(AF) episode included the accurately labeled start time and end time for patients with paroxysmal AF (PAF). The start and end times of each PAF episode were the corresponding time of the first atrial wave with an atrial rate greater than 350 beats/min and the corresponding time of the first P-wave with sinus rhythm after the termination of AF. Specifically, PAF episodes lasting more than 30 s were accurately labeled, and those lasting less than 30 s were labeled as accurately as possible. Moreover, each interval of premature beat or tachycardia was marked as “A” (atrium event) or “V” (ventricle event), and the long RR interval caused by QRS wave dropping was marked as “B” to further label Second-degree atrioventricular block. The 800 recordings included 200 whole-course AF (WAF), 200 PAF and 400 NAF recordings. For WAF patient data, whole recording included only AF signals. For NAF patients, the entire recording data had no AF signals but included normal sinus rhythm, sinus arrhythmia, atrial arrhythmia, ventricular arrhythmia, atrioventricular block and so on. The data of PAF patients included both AF episodes and NAF signals. Both WAF and PAF patients were considered to be AF patients.  The type of each recording is indicated by its file name and the comments on the contents can be seen in the picture "Note.jpg".
DOI: 10.17632/44htzjcgsz.3
title: Test dataset for: "Automated diagnosis of atrial fibrillation in 24-hour Holter recording based on deep learning：a study with randomized and real-world data validation"

description: This test dataset comprised of 800 24-hour Holter recordings from the test set of the randomized clinical cohort in the paper. Each recording includes the RR-interval data that are extracted from a 24-hour dynamic 12-lead ECG recording captured by a Holter machine (DMS Holter Company, Stateline, NV, USA) at three campuses (Main Campus, Optical Valley Campus, and Sino-French New City Campus) of the Cardiac Function Examination Center (Division of Cardiology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China). All the data were initially interpreted by primary cardiologists, then were further reviewed by three senior board-certified cardiologists to ensure the correctness of the base diagnostic labels. The cardiologist committees discussed by consensus the annotated records and provided a reference standard for model evaluation. Each atrial fibrillation(AF) episode included the accurately labeled start time and end time for patients with paroxysmal AF (PAF). The start and end times of each PAF episode were the corresponding time of the first atrial wave with an atrial rate greater than 350 beats/min and the corresponding time of the first P-wave with sinus rhythm after the termination of AF. Specifically, PAF episodes lasting more than 30 s were accurately labeled, and those lasting less than 30 s were labeled as accurately as possible. Moreover, each interval of premature beat or tachycardia was marked as “A” (atrium event) or “V” (ventricle event), and the long RR interval caused by QRS wave dropping was marked as “B” to further label Second-degree atrioventricular block. The 800 recordings included 200 whole-course AF (WAF), 200 PAF and 400 NAF recordings. For WAF patient data, whole recording included only AF signals. For NAF patients, the entire recording data had no AF signals but included normal sinus rhythm, sinus arrhythmia, atrial arrhythmia, ventricular arrhythmia, atrioventricular block and so on. The data of PAF patients included both AF episodes and NAF signals. Both WAF and PAF patients were considered to be AF patients.  The type of each recording is indicated by its file name and the comments on the contents can be seen in the picture "Note.jpg".
DOI: 10.17632/44htzjcgsz.5
title: Test dataset for: "Automatic screening of patients with atrial fibrillation from 24-h Holter recording using deep learning"

description: This test dataset comprised of 800 24-hour Holter recordings from the Training set in the paper. Each recording includes the RR-interval data that are extracted from a 24-hour dynamic 12-lead ECG recording captured by a Holter machine (DMS Holter Company, Stateline, NV, USA) at three campuses (Main Campus, Optical Valley Campus, and Sino-French New City Campus) of the Cardiac Function Examination Center (Division of Cardiology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China). All the data were initially interpreted by primary cardiologists, then were further reviewed by three senior board-certified cardiologists to ensure the correctness of the base diagnostic labels. The cardiologist committees discussed by consensus the annotated records and provided a reference standard for model evaluation. Each atrial fibrillation(AF) episode included the accurately labeled start time and end time for patients with paroxysmal AF (PAF). The start and end times of each PAF episode were the corresponding time of the first atrial wave with an atrial rate greater than 350 beats/min and the corresponding time of the first P-wave with sinus rhythm after the termination of AF. Specifically, PAF episodes lasting more than 30 s were accurately labeled, and those lasting less than 30 s were labeled as accurately as possible. Moreover, each interval of premature beat or tachycardia was marked as “A” (atrium event) or “V” (ventricle event), and the long RR interval caused by QRS wave dropping was marked as “B” to further label Second-degree atrioventricular block. The 800 recordings included 200 whole-course AF (WAF), 200 PAF and 400 NAF recordings. For WAF patient data, whole recording included only AF signals. For NAF patients, the entire recording data had no AF signals but included normal sinus rhythm, sinus arrhythmia, atrial arrhythmia, ventricular arrhythmia, atrioventricular block and so on. The data of PAF patients included both AF episodes and NAF signals. Both WAF and PAF patients were considered to be AF patients. The type of each recording is indicated by its file name and the comments on the contents can be seen in the picture "Note.jpg".

If you use this dataset, please cite the published article "Peng Zhang, Fan Lin, Fei Ma, et al. Automatic screening of patients with atrial fibrillation from 24-h Holter recording using deep learning, European Heart Journal - Digital Health (2023) 4, 216–224."

We have uploaded all the 800 files to the system, however, for unknown reasons, only 300 files can be downloaded. We have contacted with the technical support of the Mendeley to solve this problem, if you want to use the full 800 files before the problem is solved, you can contact with this email "hustzp@hust.edu.cn".
DOI: 10.5281/zenodo.14446825
title: JK1 BGCs for BiG-SCAPE 2.0 Tutorial

description: A random selection of antiSMASH produced biosynthetic gene cluster GenBank files
DOI: 10.5281/zenodo.14446826
title: JK1 BGCs for BiG-SCAPE 2.0 Tutorial

description: A random selection of antiSMASH produced biosynthetic gene cluster GenBank files
DOI: 10.5281/zenodo.14444960
title: Kanojia et al., 2024, raw data from primary and secondary metabolite analysis

description: The dataset includes the raw data from the metabolomics analysis of primary and secondary metabolites from fruits and leaves of Micro-Tom tomato plants in 4 different treatments: 

UU - no biostimulant (unprimerd), unstressed (control plants)

PU - primed with Ascophyllum nodosum extract, unstressed

US - unprimed, drought-stressed

PS - biostimulant-primerd, drought-stressed.

The stress itself was: moderate drought (6 days without irrigation, soil field capacity ~ 50%, 6 DAP samples)

severe drought (11 days without irrigation, SFC ~ 25%, 11 DAP)

recovery (two days after rewatering, 13 DAP).

More details on the experiment and treatments is provided in the publication itself:

Kanojia et al., (2024) Physiological and molecular insights into the effect of a seaweed biostimulant on enhancing fruit yield and drought tolerance in tomato. https://doi.org/10.1016/j.stress.2024.100692
DOI: 10.5281/zenodo.14444961
title: Kanojia et al., 2024, raw data from primary and secondary metabolite analysis

description: The dataset includes the raw data from the metabolomics analysis of primary and secondary metabolites from fruits and leaves of Micro-Tom tomato plants in 4 different treatments: 

UU - no biostimulant (unprimerd), unstressed (control plants)

PU - primed with Ascophyllum nodosum extract, unstressed

US - unprimed, drought-stressed

PS - biostimulant-primerd, drought-stressed.

The stress itself was: moderate drought (6 days without irrigation, soil field capacity ~ 50%, 6 DAP samples)

severe drought (11 days without irrigation, SFC ~ 25%, 11 DAP)

recovery (two days after rewatering, 13 DAP).

More details on the experiment and treatments is provided in the publication itself:

Kanojia et al., (2024) Physiological and molecular insights into the effect of a seaweed biostimulant on enhancing fruit yield and drought tolerance in tomato. https://doi.org/10.1016/j.stress.2024.100692
DOI: 10.15468/dl.k59de9
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Singapore",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 46 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033355-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrmrn3
title: Occurrence Download

description: A dataset containing 26697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is CR",
 "Year 2016-2024"
 ]
}

 The dataset includes 26697 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033354-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3b6da
title: Occurrence Download

description: A dataset containing 26697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is CR",
 "Year 2016-2024"
 ]
}

 The dataset includes 26697 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033353-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/k2kggnrtxg.1
title: ES_MEOT data

description: This data is for the paper "3D Multiple Extended Object Tracking by Fusing Roadside Radar and Camera Sensors". 

You can find: 
1) raw video data (output.avi). 
2) raw radar data (radarTrack.npy, radarPcl.npy). 
3) annotated data (annotation.npy)
4) config file (config)
DOI: 10.15468/dl.3s68tq
title: Occurrence Download

description: A dataset containing 8080 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phenacobius mirabilis (Girard, 1856)"
 ]
}

 The dataset includes 8080 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033356-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5b74gu
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hilpertia velenovskyi (Schiffn.) R.H.Zander"
 ]
}

 The dataset includes 76 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033357-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f59gjg
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Singapore",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 46 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033358-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w54r8y
title: Occurrence Download

description: A dataset containing 29759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Sanionia uncinata (Hedw.) Loeske"
 ]
}

 The dataset includes 29759 records from 297 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029315-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zw6khh
title: Occurrence Download

description: A dataset containing 209555 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Hypnum cupressiforme Hedw."
 ]
}

 The dataset includes 209555 records from 541 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029323-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmwz5q
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium crebridens Dahlst. ex F.N.Williams"
 ]
}

 The dataset includes 70 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243393-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vefak
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hesperantha humilis Baker"
 ]
}

 The dataset includes 20 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0241382-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wet2jg
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium petiolosum Dahlst."
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245803-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sks48u
title: Occurrence Download

description: A dataset containing 1186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ipomoea batatas (L.) Lam."
 ]
}

 The dataset includes 1186 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010177-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yw32hh
title: Occurrence Download

description: A dataset containing 8552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Congo, Democratic Republic of the",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is 37e82b90-1e21-11de-ab90-f72009d2669b",
 "Year 2000-2055"
 ]
}

 The dataset includes 8552 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243397-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.