cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14906668
title: Multi-Class Driver Behavior Image Dataset

description: Distracted driving-related accidents are a critical global issue, especially as road traffic increases in densely populated areas. To address the challenge of driver distraction, we introduce a novel dataset that supports the development of real-time monitoring and detection systems by capturing authentic driver behaviors. Collected in Ashulia, Dhaka, Bangladesh, in October 2024, this dataset includes images captured under real-world driving conditions within both private vehicles and public buses. The photos were taken using personal mobile phones, ensuring a realistic and diverse set of visual data. This dataset spans a wide range of driving behaviors, including safe driving, turning, texting, talking on the phone, and other potentially risky behaviors, such as drowsy driving. By depicting these behaviors in everyday driving scenarios, the dataset serves as a valuable resource for training and evaluating models designed to detect unsafe driving practices in real-time.The dataset includes high-resolution photos taken inside public buses and personal cars in Ashulia, Dhaka, Bangladesh, under actual driving circumstances. The photographs, which were taken using the cameras on personal cell phones, offer a genuine and varied collection of visual information under normal driving circumstances. The following five behavioral classes comprise the dataset: I. Safe Driving: Images showing a driver who seems to be paying attention to the road, both hands on the wheel, and concentrated or 1 hand on the steering wheel and other on the gear stick. This is the perfect example of driving without distractions. II. Turning: Photographs that show drivers changing direction during turns by moving their heads or full bodies. This behavior is crucial for figuring out how focused the driver is on everyday tasks like rotating the steering wheel. III. Texting Phone: Pictures of drivers using their phones, whether it is to type messages or to interact with the screen. Since texting and driving is one of the main causes of distracted driving, this training is very important for identifying it. IV. Talking Phones: When drivers talk on their phones or hold them up to their ears while driving a vehicle. This category aids in identifying actions connected to phone talks, which are another frequent source of interruptions. V. Others: Contains any actions that go against safe driving practices, like drinking water or anything while driving, sleeping while driving, or talking with someone behind while driving. Relevant photos are included in each session, and they differ in terms of vehicle type and illumination to represent the variety of driving situations found in the real world. Because the images are unprocessed and unannotated, there is freedom in how machine learning
DOI: 10.5281/zenodo.14907370
title: Multi-Class Driver Behavior Image Dataset

description: Distracted driving-related accidents are a critical global issue, especially as road traffic increases in densely populated areas. To address the challenge of driver distraction, we introduce a novel dataset that supports the development of real-time monitoring and detection systems by capturing authentic driver behaviors. Collected in Ashulia, Dhaka, Bangladesh, in October 2024, this dataset includes images captured under real-world driving conditions within both private vehicles and public buses. The photos were taken using personal mobile phones, ensuring a realistic and diverse set of visual data. This dataset spans a wide range of driving behaviors, including safe driving, turning, texting, talking on the phone, and other potentially risky behaviors, such as drowsy driving. By depicting these behaviors in everyday driving scenarios, the dataset serves as a valuable resource for training and evaluating models designed to detect unsafe driving practices in real-time.The dataset includes high-resolution photos taken inside public buses and personal cars in Ashulia, Dhaka, Bangladesh, under actual driving circumstances. The photographs, which were taken using the cameras on personal cell phones, offer a genuine and varied collection of visual information under normal driving circumstances. The following five behavioral classes comprise the dataset: I. Safe Driving: Images showing a driver who seems to be paying attention to the road, both hands on the wheel, and concentrated or 1 hand on the steering wheel and other on the gear stick. This is the perfect example of driving without distractions. II. Turning: Photographs that show drivers changing direction during turns by moving their heads or full bodies. This behavior is crucial for figuring out how focused the driver is on everyday tasks like rotating the steering wheel. III. Texting Phone: Pictures of drivers using their phones, whether it is to type messages or to interact with the screen. Since texting and driving is one of the main causes of distracted driving, this training is very important for identifying it. IV. Talking Phones: When drivers talk on their phones or hold them up to their ears while driving a vehicle. This category aids in identifying actions connected to phone talks, which are another frequent source of interruptions. V. Others: Contains any actions that go against safe driving practices, like drinking water or anything while driving, sleeping while driving, or talking with someone behind while driving. Relevant photos are included in each session, and they differ in terms of vehicle type and illumination to represent the variety of driving situations found in the real world. Because the images are unprocessed and unannotated, there is freedom in how machine learning
DOI: 10.5281/zenodo.14908802
title: Multi-Class Driver Behavior Image Dataset

description: Distracted driving-related accidents are a critical global issue, especially as road traffic increases in densely populated areas. To address the challenge of driver distraction, we introduce a novel dataset that supports the development of real-time monitoring and detection systems by capturing authentic driver behaviors. Collected in Ashulia, Dhaka, Bangladesh, in October 2024, this dataset includes images captured under real-world driving conditions within both private vehicles and public buses. The photos were taken using personal mobile phones, ensuring a realistic and diverse set of visual data. This dataset spans a wide range of driving behaviors, including safe driving, turning, texting, talking on the phone, and other potentially risky behaviors, such as drowsy driving. By depicting these behaviors in everyday driving scenarios, the dataset serves as a valuable resource for training and evaluating models designed to detect unsafe driving practices in real-time.The dataset includes high-resolution photos taken inside public buses and personal cars in Ashulia, Dhaka, Bangladesh, under actual driving circumstances. The photographs, which were taken using the cameras on personal cell phones, offer a genuine and varied collection of visual information under normal driving circumstances. The following five behavioral classes comprise the dataset: I. Safe Driving: Images showing a driver who seems to be paying attention to the road, both hands on the wheel, and concentrated or 1 hand on the steering wheel and other on the gear stick. This is the perfect example of driving without distractions. II. Turning: Photographs that show drivers changing direction during turns by moving their heads or full bodies. This behavior is crucial for figuring out how focused the driver is on everyday tasks like rotating the steering wheel. III. Texting Phone: Pictures of drivers using their phones, whether it is to type messages or to interact with the screen. Since texting and driving is one of the main causes of distracted driving, this training is very important for identifying it. IV. Talking Phones: When drivers talk on their phones or hold them up to their ears while driving a vehicle. This category aids in identifying actions connected to phone talks, which are another frequent source of interruptions. V. Others: Contains any actions that go against safe driving practices, like drinking water or anything while driving, sleeping while driving, or talking with someone behind while driving. Relevant photos are included in each session, and they differ in terms of vehicle type and illumination to represent the variety of driving situations found in the real world. Because the images are unprocessed and unannotated, there is freedom in how machine learning
DOI: 10.5281/zenodo.10114638
title: Cell-cycle dependent DNA repair and replication unifies patterns of chromosome instability

description: This repository contains the data used to generate the figures in paper: Cell-cycle dependent DNA repair and replication unifies patterns of chromosome instability.
DOI: 10.5281/zenodo.14940417
title: Histogram of DARDAR product in the North Atlantic

description: Histograms of the DARDAR product in the North Atlantic, stratified by the low-level instability parameter. The data are complemented with two Python functions that generate some statistical analysis figures.
DOI: 10.5281/zenodo.14940418
title: Histogram of DARDAR product in the North Atlantic

description: Histograms of the DARDAR product in the North Atlantic, stratified by the low-level instability parameter. The data are complemented with two Python functions that generate some statistical analysis figures.
DOI: 10.15468/dl.rcp7cr
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Homo erectus (Dubois, 1893)"
 ]
}

 The dataset's 5 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000017-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aazk7w
title: Occurrence Download

description: A dataset containing 291346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-72.2104 12.26767,-72.72349 11.87953,-73.28983 11.51455,-73.09621 11.27255,-72.73317 11.69473,-72.27332 11.81795,-72.07486 12.16359,-72.2104 12.26767))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 291346 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000013-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ej29p
title: Occurrence Download

description: A dataset containing 8920 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbarium William Nylander (H-NYL)"
 ]
}

 The dataset includes 8920 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000020-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6m9k6
title: Occurrence Download

description: A dataset containing 43522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Argentina, Brazil, Paraguay)",
 "TaxonKey is Rollandia rolland (Quoy & Gaimard, 1824)",
 "Year 1000-2024"
 ]
}

 The dataset includes 43522 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000019-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14940383
title: Finger-tracking reading data of monolingual and bilingual early graders

description: Data are related to the paper "Finger-tracking reading profiles in monolingual and bilingual early graders" by Claudia Marzi, Chiara Melloni, Maria Vender, in Lingue e Linguaggio 2023(2), DOI: 10.1418/109051.
DOI: 10.15468/dl.xyk7k6
title: Occurrence Download

description: A dataset containing 174542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Angola",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 174542 records from 387 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001021-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdfads
title: Occurrence Download

description: A dataset containing 30264 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ageratum conyzoides L."
 ]
}

 The dataset includes 30264 records from 653 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008443-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sn76g5
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetorellia succinea (Costa, 1845)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 86 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008444-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tn6eyf
title: Occurrence Download

description: A dataset containing 35701 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eclipta prostrata (L.) L."
 ]
}

 The dataset includes 35701 records from 768 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008518-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14991840
title: Global Medical Radioisotopes Market 2025 To 2034

description: Medical Radioisotopes Market Size, Trends and Insights By Type (Tc-99m, Cobalt-60, Iodine Radioisotopes), By Application (Nuclear Therapy, Equipment Radioactive Source, Diagnosis, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

Global Medical Radioisotopes Market was valued at USD 803 Million in 2025 and is expected to reach USD 1382 Million by 2034, at a CAGR of 6.34% during the forecast period 2025 – 2034.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=63266
DOI: 10.5281/zenodo.14991841
title: Global Medical Radioisotopes Market 2025 To 2034

description: Medical Radioisotopes Market Size, Trends and Insights By Type (Tc-99m, Cobalt-60, Iodine Radioisotopes), By Application (Nuclear Therapy, Equipment Radioactive Source, Diagnosis, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

Global Medical Radioisotopes Market was valued at USD 803 Million in 2025 and is expected to reach USD 1382 Million by 2034, at a CAGR of 6.34% during the forecast period 2025 – 2034.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=63266
DOI: 10.6084/m9.figshare.28557746
title: CF-2023-I-2253_Estudio1a.csv

description: This dataset comes from a Study comparing a generalization task with diagrams and tables
DOI: 10.15468/dl.qh3htn
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bradyrrhoa gilveolella (Treitschke, 1833)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 95 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008445-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7nh3hz
title: Occurrence Download

description: A dataset containing 196094 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Heracleum mantegazzianum Sommier & Levier)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 196094 records from 493 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008515-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-15580
title: Gost' = The guest, vol. 7, no. 5 ([May] 1917)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.8mshma
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Argopleura chocoensis (Eigenmann, 1913)"
 ]
}

 The dataset includes 74 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325315-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.daksn9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cortinarius heterodepressus Kytöv., Niskanen & Liimat.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "GadmGid is USA.1_1",
 "GadmGid is USA.11_1",
 "GadmGid is USA.25_1",
 "GadmGid is USA.41_1",
 "GadmGid is USA.34_1",
 "GadmGid is USA.43_1",
 "GadmGid is USA.18_1",
 "GadmGid is USA.47_1",
 "GadmGid is USA.49_1",
 "GadmGid is USA.15_1",
 "GadmGid is USA.19_1",
 "GadmGid is USA.4_1",
 "GadmGid is USA.26_1",
 "GadmGid is USA.14_1",
 "GadmGid is USA.36_1",
 "GadmGid is USA.39_1",
 "GadmGid is USA.21_1",
 "GadmGid is USA.16_1",
 "GadmGid is USA.8_1",
 "GadmGid is USA.31_1"
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004912-230918134249559/datasets/export for details.
DOI: 10.25549/pcra-c14-1684
title: Seiatel' istiny = The sower of truth, vol. 15, no. 10 (October 1930)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.sba4ty
title: Occurrence Download

description: A dataset containing 545 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (COL.28.18_2)",
 "TaxonKey is one of (Aves)"
 ]
 }
 ]
}

 The dataset includes 545 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002692-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3bsp6
title: Occurrence Download

description: A dataset containing 7216 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poecilia mexicana Steindachner, 1863"
 ]
}

 The dataset includes 7216 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325314-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-1709
title: Seiatel' istiny = The sower of truth, vol. 15, no. 11 (November 1930)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.5g5n6n
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Maytenus senegalensis (Lam.) Exell"
 ]
}

 The dataset includes 163 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001037-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tv58ua
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lotus arenarius Brot.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 189 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070001-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-1780
title: Seiatel' istiny = The sower of truth, vol. 16, no. 10 (October 1931)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.hqnehc
title: Occurrence Download

description: A dataset containing 1337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((24.41552 -17.31981,183.58448 -17.31981,183.58448 46.31981,24.41552 46.31981,24.41552 -17.31981))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trimeresurus albolabris Gray, 1842"
 ]
}

 The dataset includes 1337 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016957-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khp4wp
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Valdiviella oligarthra Steuer, 1904"
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134377-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8znmu
title: Occurrence Download

description: A dataset containing 1179823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Solanaceae"
 ]
}

 The dataset includes 1179823 records from 1206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002705-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-558
title: Seiatel' istiny = The sower of truth, vol. 16, no. 11 (November 1931)

description: [description english/roman)] Monthly