cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18743881
title: Wine4cast | Wide-FOV Grapevine Inflorescence Dataset

description: Video data collected from both sides (NNW → SSE and SSE → NNW directions) of a row of Jaen (VIVC-5652) grape variety, trained in a VSP system, under natural canopy and lighting conditions. A Insta360 X4 camera (see https://www.insta360.com/product/insta360-x4), mounted on an extendable selfie-stick support, was operated manually along the vineyard rows, covering approximately 85 m per row.The recordings were captured in single-lens mode at 30 frames per second and 4K resolution (3840×2160), providing a 180° FOV.  The continuous video was converted into 147 individual images by extracting a frame every three seconds to avoid repetitiveness between images.All images were manually annotated and each visible inflorescence was enclosed within a rectangular bounding box toidentify its the position, scale, and class, standardized to the YOLO format.
description: This work was co-financed by "Component 5: Capitalization and Business Innovation",integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR) of the European Union (EU), framed in the NextGenerationEU, for the period 2021–2026 within the project “Wine4cast – Space-time prediction of wine productivity for multi-actor usability: integration of remote optical-photonic sensors, artificial intelligence and climate scenarios” (ref: PRR-C05-i03-I-000071) (https://www.fc.up.pt/Wine4Cast/Home.html).
DOI: 10.5281/zenodo.18743882
title: Wine4cast | Wide-FOV Grapevine Inflorescence Dataset

description: Video data collected from both sides (NNW → SSE and SSE → NNW directions) of a row of Jaen (VIVC-5652) grape variety, trained in a VSP system, under natural canopy and lighting conditions. A Insta360 X4 camera (see https://www.insta360.com/product/insta360-x4), mounted on an extendable selfie-stick support, was operated manually along the vineyard rows, covering approximately 85 m per row.The recordings were captured in single-lens mode at 30 frames per second and 4K resolution (3840×2160), providing a 180° FOV.  The continuous video was converted into 147 individual images by extracting a frame every three seconds to avoid repetitiveness between images.All images were manually annotated and each visible inflorescence was enclosed within a rectangular bounding box toidentify its the position, scale, and class, standardized to the YOLO format.
description: This work was co-financed by "Component 5: Capitalization and Business Innovation",integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR) of the European Union (EU), framed in the NextGenerationEU, for the period 2021–2026 within the project “Wine4cast – Space-time prediction of wine productivity for multi-actor usability: integration of remote optical-photonic sensors, artificial intelligence and climate scenarios” (ref: PRR-C05-i03-I-000071) (https://www.fc.up.pt/Wine4Cast/Home.html).
DOI: 10.15468/dl.u8yfwr
title: Occurrence Download

description: A dataset containing 58251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Anthophila"
 ]
}

 The dataset includes 58251 records from 398 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003857-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15482/usda.adc/31329289
title: Data from: Employing tiny harmonic radar tags to study mosquito movement in natural environments

description: A detailed understanding of mosquito movement dynamics is critical to mosquito-borne disease prevention. While laboratory and trap-based studies have made great strides in providing snapshots of mosquito movement, a real-time comprehensive picture of quotidian mosquito movement is still lacking. However, the development of miniature harmonic radar (HR) tags, suitable for small insect tracking, has made the collection of fine-scale mosquito movement data (locating landing positions) possible. In this study, we assessed the suitability of using HR tags (weighing 50-135 μg) for tracking individual <i>Aedes albopictus </i>in both caged flight tests and natural environments. Flight tests in a large outdoor screen cage demonstrated that mosquitoes were attracted to a darker colored wall and that individuals had variable landing heights, which aligned with published descriptions of <i>Ae. albopictus</i> behavior. Field experiments demonstrated the feasibility of following tagged mosquito movements in a coffee field and in shaded parkland. Movement parameters from both field experiments (step-distances, turning angles, and movement rates) were used to estimate maximum daily dispersals (range 25-52 m/d), and these estimates agree with previously published estimates. While both non-blood fed and blood fed female <i>Ae. albopictus</i> were found to be flight capable with HR tags, several experiments showed some adverse effects of tagging, including increased mortality and decreases in flight times. Nonetheless, our findings suggest that using harmonic radar tags to track mosquitoes can yield biologically relevant results. This approach is promising for future studies investigating adult mosquito movement ecology and dispersal, thus revealing new possibilities for mosquito surveillance and control.
DOI: 10.15482/usda.adc/31329289.v1
title: Data from: Employing tiny harmonic radar tags to study mosquito movement in natural environments

description: A detailed understanding of mosquito movement dynamics is critical to mosquito-borne disease prevention. While laboratory and trap-based studies have made great strides in providing snapshots of mosquito movement, a real-time comprehensive picture of quotidian mosquito movement is still lacking. However, the development of miniature harmonic radar (HR) tags, suitable for small insect tracking, has made the collection of fine-scale mosquito movement data (locating landing positions) possible. In this study, we assessed the suitability of using HR tags (weighing 50-135 μg) for tracking individual <i>Aedes albopictus </i>in both caged flight tests and natural environments. Flight tests in a large outdoor screen cage demonstrated that mosquitoes were attracted to a darker colored wall and that individuals had variable landing heights, which aligned with published descriptions of <i>Ae. albopictus</i> behavior. Field experiments demonstrated the feasibility of following tagged mosquito movements in a coffee field and in shaded parkland. Movement parameters from both field experiments (step-distances, turning angles, and movement rates) were used to estimate maximum daily dispersals (range 25-52 m/d), and these estimates agree with previously published estimates. While both non-blood fed and blood fed female <i>Ae. albopictus</i> were found to be flight capable with HR tags, several experiments showed some adverse effects of tagging, including increased mortality and decreases in flight times. Nonetheless, our findings suggest that using harmonic radar tags to track mosquitoes can yield biologically relevant results. This approach is promising for future studies investigating adult mosquito movement ecology and dispersal, thus revealing new possibilities for mosquito surveillance and control.
DOI: 10.15468/dl.6gzt4r
title: Occurrence Download

description: A dataset containing 1070784 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.33_1",
 "Month is one of (June, July)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2020-2020"
 ]
}

 The dataset includes 1070784 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003943-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18744702
title: Processed Dataset for Prediction of Fetal Growth Retardation using Deep Learning
DOI: 10.5281/zenodo.18744703
title: Processed Dataset for Prediction of Fetal Growth Retardation using Deep Learning
DOI: 10.48580/dgwqj.v3
title: The first Symphrasinae (Neuroptera: Mantispidae) from Cretaceous Charentese amber (France)
DOI: 10.5281/zenodo.18729570
title: NativeAnimalBD: A Hierarchical Image Dataset of Bangladeshi Native Animals [Resized and Standardized Edition]

description: Version 2.0 – Resized and Standardized Edition (224×224)

This version of NativeAnimalBD provides a preprocessed and standardized edition of the dataset in which all images have been resized to 224×224 pixels to facilitate immediate use in deep learning frameworks such as ResNet, VGG, MobileNet, DenseNet etc.

What’s New in This Version





All images resized to 224×224 resolution




Standardized image dimensions for CNN-based architectures




Systematic file renaming using subclass-based identifiers (e.g., heron-1.jpg, royal_bengal_tiger-1.jpg)




Preserved hierarchical folder structure




Same total image count (8,000 images)



Purpose of This Version

This resized edition is intended to:





Reduce preprocessing overhead for researchers




Enable direct integration into deep learning pipelines




Ensure reproducibility across benchmarking experiments




Support standardized training and evaluation protocols



Important Notes





This version maintains the same class distribution and hierarchy as Version 1.0 (original resolution dataset).




Fish images remain externally sourced and are not redistributed.




Researchers requiring original resolution images should refer to Version 1.0.
DOI: 10.5281/zenodo.18744429
title: NativeAnimalBD: A Hierarchical Image Dataset of Bangladeshi Native Animals [Resized and Standardized Edition]

description: Version 2.0 – Resized and Standardized Edition (224×224)

This version of NativeAnimalBD provides a preprocessed and standardized edition of the dataset in which all images have been resized to 224×224 pixels to facilitate immediate use in deep learning frameworks such as ResNet, VGG, MobileNet, DenseNet etc.

What’s New in This Version





All images resized to 224×224 resolution




Standardized image dimensions for CNN-based architectures




Systematic file renaming using subclass-based identifiers (e.g., heron-1.jpg, royal_bengal_tiger-1.jpg)




Preserved hierarchical folder structure




Same total image count (8,000 images)



Purpose of This Version

This resized edition is intended to:





Reduce preprocessing overhead for researchers




Enable direct integration into deep learning pipelines




Ensure reproducibility across benchmarking experiments




Support standardized training and evaluation protocols



Important Notes





This version maintains the same class distribution and hierarchy as Version 1.0 (original resolution dataset).




Fish images remain externally sourced and are not redistributed.




Researchers requiring original resolution images should refer to Version 1.0.
DOI: 10.15468/dl.y3hcj6
title: Occurrence Download

description: A dataset containing 4147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is SWE.13.19_1",
 "Month is February",
 "TaxonKey is Aves",
 "Year 2025-2025"
 ]
}

 The dataset includes 4147 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003992-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9faj8
title: Occurrence Download

description: A dataset containing 2475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthurium gracile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2475 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003991-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zu4mg3
title: Occurrence Download

description: A dataset containing 13810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stenophylax permistus"
 ]
}

 The dataset includes 13810 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003990-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7cce9g
title: Occurrence Download

description: A dataset containing 9769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leptolyngbya",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9769 records from 332 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003993-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urktme
title: Occurrence Download

description: A dataset containing 1213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stenophylax vibex"
 ]
}

 The dataset includes 1213 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003994-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18744785
title: IMPROVING PEDAGOGICAL DIAGNOSTIC METHODS IN PRESCHOOL EDUCATIONAL INSTITUTIONS AND MODERN APPROACHES TO ASSESSING CHILDREN'S DEVELOPMENT LEVELS

description: The article analyzes scientific and practical approaches to assessing the level of development of children in preschool educational institutions and improving the pedagogical diagnostic process.he article analyzes scientific and practical approaches to assessing the level of development of children in preschool educational institutions and improving the pedagogical diagnostic process. The study examines effective ways to assess children's cognitive, emotional, and social skills based on diagnostic tools, pedagogical observations, interactive tests, portfolios, digital monitoring, and gaming techniques. The article includes recommendations aimed at accurately determining the level of development of preschool children, determining the directions of individual education and optimizing the pedagogical process.
DOI: 10.5281/zenodo.18744784
title: IMPROVING PEDAGOGICAL DIAGNOSTIC METHODS IN PRESCHOOL EDUCATIONAL INSTITUTIONS AND MODERN APPROACHES TO ASSESSING CHILDREN'S DEVELOPMENT LEVELS

description: The article analyzes scientific and practical approaches to assessing the level of development of children in preschool educational institutions and improving the pedagogical diagnostic process.he article analyzes scientific and practical approaches to assessing the level of development of children in preschool educational institutions and improving the pedagogical diagnostic process. The study examines effective ways to assess children's cognitive, emotional, and social skills based on diagnostic tools, pedagogical observations, interactive tests, portfolios, digital monitoring, and gaming techniques. The article includes recommendations aimed at accurately determining the level of development of preschool children, determining the directions of individual education and optimizing the pedagogical process.
DOI: 10.15468/dl.hc973t
title: Occurrence Download

description: A dataset containing 1376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Molanna albicans"
 ]
}

 The dataset includes 1376 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003996-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v58xnr
title: Occurrence Download

description: A dataset containing 2779 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carludovica palmata"
 ]
}

 The dataset includes 2779 records from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003995-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/0ixnu5
title: Replication data for: The Effect of Franchise No-poaching Restrictions on Worker Earnings

description: This package contains complete code for the paper. Our agreements with data providers prohibit posting the underlying data. The included readme file describes how to inquire with these providers about obtaining access.
description: Volume XX, Issue X
DOI: 10.15126/surreydata.902006
title: Photo documentation of Deptford

description: This file contains photographs taken in Deptford, London over 2022. The images were taken during my PhD practice project exploring the changes and gentrification in the area, due to increased developments and the erosion of community and green spaces.
DOI: 10.48320/9c5eac1d-24ca-402f-b5b1-56d23dbb9589
title: Civic Consciousness and Vision of War in Ukrainian Public Opinion
DOI: 10.5281/zenodo.18744810
title: Civic Consciousness and Vision of War in Ukrainian Public Opinion – National face-to-face opinion poll representative of the population in government-controlled territories of Ukraine (August 2024)

description: Version 1.1 includes an updated dataset following technical difficulties.

This data collection offers a representative poll of the Ukrainian population, living in territories controlled by the Ukrainian government without ongoing armed hostilities. The poll was conducted by the Ilko Kucheriv Democratic Initiatives Foundation together with the sociological service of the Razumkov Center from 08 to 15 August 2024. 

The poll has a large number of questions on the Russian war of aggression against Ukraine including own volunteer assistance, the position of war veterans, opinions about ways to end the war as well as perceptions of Ukrainian statehood and society. The survey also contains standard questions related to the socio-demographic status of respondents.

The data collection contains the original poll data. The SPSS file (.sav) is the original file provided by the Ilko Kucheriv Democratic Initiatives Foundation. It has been exported into an Excel file. The content of the respective xlsx-file should be identical with the original sav-file. The sav-file contains the questions and answer options of the original questionnaire in Ukrainian. The original questionnaire and an English translation have also been included in this data collection as separate pdf-files. 

Additionally, the data collection contains the file "Summary" which documents some major results of the survey in the form of analytical summaries and descriptive statistics in English and Ukraine.
description: Published on Discuss Data, https://discuss-data.net/dataset/9c5eac1d-24ca-402f-b5b1-56d23dbb9589/
description: Method(s) of data collection: Public Opinion PollMethod(s) of data analysis: Descriptive Statistics
DOI: 10.5281/zenodo.18744811
title: Civic Consciousness and Vision of War in Ukrainian Public Opinion – National face-to-face opinion poll representative of the population in government-controlled territories of Ukraine (August 2024)

description: Version 1.1 includes an updated dataset following technical difficulties.

This data collection offers a representative poll of the Ukrainian population, living in territories controlled by the Ukrainian government without ongoing armed hostilities. The poll was conducted by the Ilko Kucheriv Democratic Initiatives Foundation together with the sociological service of the Razumkov Center from 08 to 15 August 2024. 

The poll has a large number of questions on the Russian war of aggression against Ukraine including own volunteer assistance, the position of war veterans, opinions about ways to end the war as well as perceptions of Ukrainian statehood and society. The survey also contains standard questions related to the socio-demographic status of respondents.

The data collection contains the original poll data. The SPSS file (.sav) is the original file provided by the Ilko Kucheriv Democratic Initiatives Foundation. It has been exported into an Excel file. The content of the respective xlsx-file should be identical with the original sav-file. The sav-file contains the questions and answer options of the original questionnaire in Ukrainian. The original questionnaire and an English translation have also been included in this data collection as separate pdf-files. 

Additionally, the data collection contains the file "Summary" which documents some major results of the survey in the form of analytical summaries and descriptive statistics in English and Ukraine.
description: Published on Discuss Data, https://discuss-data.net/dataset/9c5eac1d-24ca-402f-b5b1-56d23dbb9589/
description: Method(s) of data collection: Public Opinion PollMethod(s) of data analysis: Descriptive Statistics
DOI: 10.15468/dl.hy656w
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Geometry POLYGON((121.22836 40.55153,122.26774 40.55153,122.26774 41.439,121.22836 41.439,121.22836 40.55153))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Grus japonensis"
 ]
}

 The dataset includes 50 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003997-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18742694
title: Beuys-Stele B 1036 in Kassel als Teil der "7000 Eichen" (FAIR Digital Object)
DOI: 10.5281/zenodo.18742693
title: Beuys-Stele B 1036 in Kassel als Teil der "7000 Eichen" (FAIR Digital Object)
DOI: 10.15468/dl.3kswpq
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Geometry POLYGON((121.22836 40.55153,122.26774 40.55153,122.26774 41.439,121.22836 41.439,121.22836 40.55153))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Numenius arquata"
 ]
}

 The dataset includes 71 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003999-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3z6zh
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Chilo partellus, Chilo zonellus, Chilo lutulentalis, Chilo partellus acutus)"
 ]
}

 The dataset includes 241 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003998-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18742670
title: Charlotten-Bär von Nana Topchishvili in Berlin (FAIR Digital Object)
DOI: 10.5281/zenodo.18742669
title: Charlotten-Bär von Nana Topchishvili in Berlin (FAIR Digital Object)