cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.us52gy
title: Occurrence Download

description: A dataset containing 675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Viverricula indica (É.Geoffroy Saint-Hilaire, 1803)"
 ]
}

 The dataset includes 675 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245725-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzf555
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Soldanella rugosa Li Bing Zhang",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080818-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvfslp
title: Occurrence Download

description: A dataset listing the 226844 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Brazil"
 ]
}

 The dataset's 226844 records were derived from 2536 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015608-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/j83cfgkrb5.1
title: A Curated Dataset for Drug Class Prediction and Repositioning

description: This curated dataset offers a valuable resource for deep learning applications in drug discovery and repositioning domains. It contains 5,350 high-resolution images systematically categorized into pharmacological classes and molecular targets. The pharmacological classes encompass antifungals, antivirals, corticosteroids, diuretics, and non-steroidal anti-inflammatory drugs (NSAIDs), while the molecular targets emphasize Alzheimer's disease-related enzymes, including acetylcholinesterase, butyrylcholinesterase, and beta-secretase 1. The dataset was meticulously compiled using data from well-established databases, including DrugBank, ChEMBL, and DUD-E, ensuring diversity and quality in the compounds selected for training. Active compounds (true positives) were sourced from DrugBank and ChEMBL, while decoy compounds (false negatives) were generated using the DUD-E protocol. The decoy compounds are designed to match the physicochemical properties of active compounds while lacking binding affinity, creating a robust benchmark for machine learning evaluation. The balanced structure of the dataset, with equal representation of true positive and decoy compounds, enhances its suitability for binary and multi-class classification tasks. The collection of compounds is diverse and of high quality, thus supporting a wide range of deep learning tasks, including pharmacological class prediction, virtual screening, and molecular target identification. This ultimately advances computational approaches in drug discovery.
DOI: 10.17632/j83cfgkrb5.2
title: A Curated Dataset for Drug Class Prediction and Repositioning

description: This curated dataset offers a valuable resource for deep learning applications in drug discovery and repositioning domains. It contains 5,350 high-resolution images systematically categorized into pharmacological classes and molecular targets. The pharmacological classes encompass antifungals, antivirals, corticosteroids, diuretics, and non-steroidal anti-inflammatory drugs (NSAIDs), while the molecular targets emphasize Alzheimer's disease-related enzymes, including acetylcholinesterase, butyrylcholinesterase, and beta-secretase 1. The dataset was meticulously compiled using data from well-established databases, including DrugBank, ChEMBL, and DUD-E, ensuring diversity and quality in the compounds selected for training. Active compounds (true positives) were sourced from DrugBank and ChEMBL, while decoy compounds (true negatives) were generated using the DUD-E protocol. The decoy compounds are designed to match the physicochemical properties of active compounds while lacking binding affinity, creating a robust benchmark for machine learning evaluation. The balanced structure of the dataset, with equal representation of true positive and decoy compounds, enhances its suitability for binary and multi-class classification tasks. The collection of compounds is diverse and of high quality, thus supporting a wide range of deep learning tasks, including pharmacological class prediction, virtual screening, and molecular target identification. This ultimately advances computational approaches in drug discovery.
DOI: 10.15468/dl.xxmwyf
title: Occurrence Download

description: A dataset containing 656 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coptodon zillii (Gervais, 1848)"
 ]
}

 The dataset includes 656 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004493-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ynyy98t3sx
title: spss data

description: All data analyzed were included
DOI: 10.17632/ynyy98t3sx.1
title: spss data

description: All data analyzed were included
DOI: 10.15468/dl.zu6ytz
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((31.01875 58.86584,33.86964 58.86584,33.86964 60.56096,31.01875 60.56096,31.01875 58.86584))",
 "TaxonKey is Pulsatilla vulgaris Mill."
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004494-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nhpfvmrzsg.1
title: PRIMARY DATA WITH MEDIATORS LARGE SAMPLE SIZE

description: IT CONTAINS DATA ON A SAMPLE SIZE OF MORE THAN 1K RESPONDENTS REGARDING THEIR PIR .
DOI: 10.17632/bc5sv6wnd9.1
title: Media Reported Road Traffic Crash Data

description: The data was obtained from articles documenting crashes in the Times of India. This dataset presents statistical data on different crash variables acquired from news articles. Every row corresponds to information about a single collision. The data was gathered using the Python programming language, specifically the Selenium package, to automate the process of selecting online pages based on the keywords "road", "accident", and "killed". Additionally, it retrieved the Title, Date, and Main Body of the Article. The NLTK package was employed to extract pertinent information from the raw data, while the pandas package was used to organise the data into a data frame. Researchers can utilise this data to gain insights into people's perceptions of road traffic crashes and identify any biases in media reporting that may influence the portrayal of specific crash types.
DOI: 10.17632/bc5sv6wnd9.2
title: Media Reported Road Traffic Crash Data

description: The data was obtained from articles documenting crashes in the Times of India. This dataset presents statistical data on different crash variables acquired from news articles. Every row corresponds to information about a single collision. The data was gathered using the Python programming language, specifically the Selenium package, to automate the process of selecting online pages based on the keywords "road", "accident", and "killed". Additionally, it retrieved the Title, Date, and Main Body of the Article. The NLTK package was employed to extract pertinent information from the raw data, while the pandas package was used to organise the data into a data frame. Researchers can utilise this data to gain insights into people's perceptions of road traffic crashes and identify any biases in media reporting that may influence the portrayal of specific crash types.
DOI: 10.17632/bc5sv6wnd9.3
title: Media Reported Road Traffic Crash Data

description: The data was obtained from articles documenting crashes in the Times of India. This dataset presents statistical data on different crash variables acquired from news articles. Every row corresponds to information about a single collision. The data was gathered using the Python programming language, specifically the Selenium package, to automate the process of selecting online pages based on the keywords "road", "accident", and "killed". Additionally, it retrieved the Title, Date, and Main Body of the Article. The NLTK package was employed to extract pertinent information from the raw data, while the pandas package was used to organise the data into a data frame. Researchers can utilise this data to gain insights into people's perceptions of road traffic crashes and identify any biases in media reporting that may influence the portrayal of specific crash types.
DOI: 10.17632/bc5sv6wnd9.4
title: Media Reported Road Traffic Crash Data

description: The data was obtained from articles documenting crashes in the Times of India. This dataset presents statistical data on different crash variables acquired from news articles. Every row corresponds to information about a single collision. The data was gathered using the Python programming language, specifically the Selenium package, to automate the process of selecting online pages based on the keywords "road", "accident", and "killed". Additionally, it retrieved the Title, Date, and Main Body of the Article. The NLTK package was employed to extract pertinent information from the raw data, while the pandas package was used to organise the data into a data frame. Researchers can utilise this data to gain insights into people's perceptions of road traffic crashes and identify any biases in media reporting that may influence the portrayal of specific crash types.
DOI: 10.17632/bc5sv6wnd9.5
title: Media Reported Road Traffic Crash Data

description: The data was obtained from articles documenting crashes in the Times of India. This dataset presents statistical data on different crash variables acquired from news articles. Every row corresponds to information about a single collision. The data was gathered using the Python programming language, specifically the Selenium package, to automate the process of selecting online pages based on the keywords "road", "accident", and "killed". Additionally, it retrieved the Title, Date, and Main Body of the Article. The NLTK package was employed to extract pertinent information from the raw data, while the pandas package was used to organise the data into a data frame. Researchers can utilise this data to gain insights into people's perceptions of road traffic crashes and identify any biases in media reporting that may influence the portrayal of specific crash types.
DOI: 10.17632/bc5sv6wnd9.6
title: Media Reported Road Traffic Crash Data

description: The data was obtained from articles documenting crashes in the Times of India. This dataset presents statistical data on different crash variables acquired from news articles. Every row corresponds to information about a single collision. The data was gathered using the Python programming language, specifically the Selenium package, to automate the process of selecting online pages based on the keywords "road", "accident", and "killed". Additionally, it retrieved the Title, Date, and Main Body of the Article. The NLTK package was employed to extract pertinent information from the raw data, while the pandas package was used to organise the data into a data frame. Researchers can utilise this data to gain insights into people's perceptions of road traffic crashes and identify any biases in media reporting that may influence the portrayal of specific crash types.
DOI: 10.17632/bc5sv6wnd9.7
title: Media Reported Road Traffic Crash Data

description: The data was obtained from articles documenting crashes in the Times of India. This dataset presents statistical data on different crash variables acquired from news articles. Every row corresponds to information about a single collision. The data was gathered using the Python programming language, specifically the Selenium package, to automate the process of selecting online pages based on the keywords "road", "accident", and "killed". Additionally, it retrieved the Title, Date, and Main Body of the Article. The NLTK package was employed to extract pertinent information from the raw data, while the pandas package was used to organise the data into a data frame. Researchers can utilise this data to gain insights into people's perceptions of road traffic crashes and identify any biases in media reporting that may influence the portrayal of specific crash types.
DOI: 10.17632/ytjm37534f.1
title: Precursors of Interactional Value Formation through Digital Banking Interactions

description: Raw data CSV processed for running through SmartPLS
DOI: 10.17632/t74tjp9nmz.2
title: Data for Early diagenesis of coral rubble on the high-energy platform of Ximen Reef in the southern South China Sea

description: The dataset comprises data on radiaocarbon dating, carbonate minerals, stable isotopes (C and O) and elemental ratios (Sr/Ca and Mg/Ca) for the article "Early diagenesis of coral Rubble on the high-energy platform of Ximen Reef in the southern South China Sea" by Zhou et al.
DOI: 10.15468/dl.cy9mt9
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rastrelliger faughni Matsui, 1967",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004495-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bcb9329f6d.1
title: Photoplethysmography Device Data: Hardware and Participant Study Insights

description: This dataset accompanies the study "Investigating the Design of a Photoplethysmography Device for Clinical Applications" conducted by Anneri Appel (Aspeling) and Dr. Rensu P. Theart. It includes raw and processed data collected from 110 participants (participant 056 excluded due to a measurement error) and is intended to support reproducibility, further research, and development in photoplethysmography (PPG) device design and performance evaluation.

Structure of the Dataset:

1. Data Folder: 
 This folder contains PPG data recorded for each participant (except 056) using both green-LED and red-LED devices. Each participant has 8 text files named using the following convention: 
 ONSM_{GREEN/RED}_{data/time}_{IR/RG}_{participant number}.txt 
 - ONSM refers to the Onsemi photodiode used to capture the data. 
 - {GREEN/RED} indicates whether the data was captured using the green-LED or red-LED PPG device. 
 - {data/time} specifies whether the file contains ADC data (range: 0–65536) or timestamps (in milliseconds). 
 - {IR/RG} indicates the LED type used (infrared or red/green). 
 - {participant number} identifies the participant (001–110, excluding 056). 

 Data and timestamp files are paired, such that timestamps for ONSM_GREEN_data_IR_1.txt are located in ONSM_GREEN_time_IR_1.txt.

2. Participants Folder: 
 This folder contains a metadata file for each participant (001–110, excluding 056) with the following fields: 
 - No: Participant number. 
 - Age: Age in years. 
 - Sex: Biological sex (M/F). 
 - BMI: Body Mass Index classification (Normal, Underweight, Overweight). 
 - MST: Monk Skin Tone scale (1–10, where 10 indicates the darkest skin tone). 
 - CVH: Presence of known cardiovascular health problems. 
 - Blood Pressure: Blood pressure readings (mmHg). 
 - Seconds, SpO2, BPM: Time-stamped blood oxygen saturation (percent) and heart rate (beats per minute). 

Key Features and Applications:

This dataset is relevant for researchers and developers working on: 
1. PPG Device Design and Optimization: Includes raw hardware configuration data such as light source wavelength, brightness, photodetector lens shape, and sensor-to-skin contact pressure. 
2. Participant Study Analysis: Provides cardiovascular metrics collected from a demographically diverse group, facilitating investigations into the effects of factors like skin tone (MST) and BMI on PPG signal quality. 
3. Neural Network Training: Contains data that can be used to train and validate neural networks for applications like blood pressure estimation.

Intended Use:
The dataset is designed to support reproducibility of findings from the study and encourage further research in PPG-based vital sign monitoring, particularly in diverse clinical and demographic settings.

For more context and details about the methodology, please refer to the associated publication.
DOI: 10.15468/dl.c768hu
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoca largha Pallas, 1811",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 213 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004496-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wm6cs4zbtw.1
title: ggRibo_Arabidopsis

description: Here we include all datasets to reproduce plots for the ggRibo paper and the Ribo-seq pipeline book chapter.
ggRibo link: https://github.com/hsinyenwu/ggRibo
DOI: 10.15468/dl.tukm9u
title: Occurrence Download

description: A dataset containing 479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Okamejei kenojei (Müller & Henle, 1841)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 479 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004497-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.545jdv
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Raja kenojei Müller & Henle, 1841",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004499-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hv7zyd
title: Occurrence Download

description: A dataset containing 223380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oncorhynchus mykiss (Walbaum, 1792))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 223380 records from 448 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004486-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58032/agh/ofef8z
title: Momentum-dependent flow correlations in deformed nuclei at collision energies available at the BNL Relativistic Heavy Ion Collider - research data

description: Tables of numerical data for figures published in Physical Review C 107 (2023) 054916
DOI: 10.15468/dl.9aymdv
title: Occurrence Download

description: A dataset containing 55368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myosoton aquaticum (L.) Moench",
 "Year 1970-2025"
 ]
}

 The dataset includes 55368 records from 616 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004498-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzb9gs
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Raja porosa Günther, 1874",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004500-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58032/agh/saebf3
title: Factorization breaking for higher moments of harmonic flow - research data

description: Tables of numerical data for figures published in Physical Review C 105 (2022) 034904
DOI: 10.15468/dl.ugktfa
title: Occurrence Download

description: A dataset containing 10392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oreochromis mossambicus (Peters, 1852))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10392 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004501-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zng657d5sd.1
title: phonon-pumping

description: this data is excited state information of diamond by linear and circular pumping in diamond in raman active and inactive
DOI: 10.17632/kdts7p9n64.1
title: qujing2025

description: This database contains the source data for Qujing's research papers, and it is openly available.
DOI: 10.15468/dl.hm6xvx
title: Occurrence Download

description: A dataset containing 57947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nassella trichotoma (Nees) Hack. & Arechav.",
 "Year 1970-2025"
 ]
}

 The dataset includes 57947 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004502-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nw9j7b2wbb.1
title: Intestinal Lactobacillus protects against neuroangiostrongyliasis in BALB/c mice through modulation of immune response

description: Reporting summary
DOI: 10.17632/r2yp8wy45f.1
title: Soybean Leaf Diseased Images

description: These are the unprocessed images of soybean diseased leaves. These images captured by mobile camera directly from various fields in Kolhapur district in Maharashtra India.
DOI: 10.17632/nw9j7b2wbb.2
title: Intestinal Lactobacillus protects against neuroangiostrongyliasis in BALB/c mice through modulation of immune response

description: Reporting summary
DOI: 10.17632/58wdbj7b3k.1
title: Impacts of freeze-thaw cycles on soil aggregate stability and phosphorus occurrence under different land uses

description: he comparison of soil aggregate content before and after freeze-thaw