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

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-100.85278 20.54445,-100.79035 20.54445,-100.79035 20.58402,-100.85278 20.58402,-100.85278 20.54445))",
 "HasCoordinate is true",
 "IucnRedListCategory is one of (CR, EN)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002044-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2mdz4k29rr.1
title: DESENVOLVIMENTO DO CANSAT ÁQUILA PARA MONITORAMENTO AMBIENTAL E SENSORIAMENTO REMOTO

description: Trabalho apresentado ao III Simpósio Gaúcho de Engenharia Aeroespacial e Mecânica, Santa Maria, RS, Brasil.
DOI: 10.57967/hf/4564
title: news-headlines-ubercorpus
DOI: 10.17632/ng6tv57j5c.1
title: FeliBreed – A Multi-Breed Cat Image Dataset

description: FeliBreed – A Multi-Breed Cat Image Dataset

We present the FeliBreed dataset, a carefully curated collection of 300 real-world cat images from a variety of breeds. This dataset is designed to support robust image analysis, especially in tasks related to cat breed classification. Each image has been sourced from real-life settings, captured through fieldwork with cameras, ensuring the data is authentic and representative of different environments.

Breakdown of the Dataset:

• Tabby Cat: 28 images
• Mixed Breed: 41 images
• Local: 59 images
• Bengal Cat: 14 images
• Persian: 158 images

Key Features:

• Real-World Images: All images are sourced from real-life settings, making the dataset highly applicable for model training and validation.
• Multi-Breed Representation: The dataset includes multiple breeds, ensuring diversity in the training data and improving the generalization of models.
• High-Quality Data: The images are captured using professional cameras during fieldwork, guaranteeing high resolution and accuracy for image classification tasks.

FeliBreed is an excellent resource for researchers and developers working on cat breed recognition and image classification tasks. By leveraging this dataset, machine learning models can achieve improved accuracy and robustness when deployed in real-world applications.
DOI: 10.6073/pasta/7a2e08a251b8d9be5ab46846ac578c49
title: Thymidine uptake rates for estimating bacterial production in lakes, McMurdo Dry Valleys, Antarctica (1993-2023, ongoing)

description: An important part of the McMurdo Long Term Ecological Research (LTER) is monitoring of spatial and temporal patterns, and processes that control bacterial production in perennial ice-covered lakes. This data set quantifies thymidine (TdR) uptake by bacteria, which can be used to estimate bacterial production.
DOI: 10.17632/b9rvg4f2st.1
title: Vegetable Image Dataset for Classification Models: A Bangladeshi Perspective

description: Dataset overview:
This dataset includes a total of 2,947 labeled images representing various vegetables commonly found in Bangladesh, designed for machine learning, computer vision research, and agricultural studies.

Dataset Breakdown by Vegetable Type:
Potato: 272 images
Onion: 357 images
Green Chili: 497 images
Garlic: 235 images
Radish: 310 images
Bean: 454 images
Ladies Finger : 213 images
Cucumber: 232 images
Pointed Gourd: 157 images
Bitter Melon: 93 images
Brinjal (Eggplant): 88 images
Tomato: 37 images

Data Source:
The images were captured using mobile phone cameras, and the backgrounds were removed to enhance the clarity and focus on the vegetables.

Applications:
Vegetable Classification Models
Automated Produce Recognition Systems
Computer Vision Benchmarking
Educational and Agricultural Research
DOI: 10.17632/b9rvg4f2st.2
title: Vegetable Image Dataset for Classification Models: A Bangladeshi Perspective

description: Dataset overview:
This dataset includes a total of 2,945 labeled images representing various vegetables commonly found in Bangladesh, designed for machine learning, computer vision research, and agricultural studies.

Dataset Breakdown by Vegetable Type:
Potato: 272 images
Onion: 357 images
Green Chili: 497 images
Garlic: 235 images
Radish: 310 images
Bean: 454 images
Ladies Finger : 213 images
Cucumber: 232 images
Pointed Gourd: 157 images
Bitter Melon: 93 images
Brinjal : 88 images
Tomato: 37 images

Data Source:
The images were captured using mobile phone cameras, and the backgrounds were removed to enhance the clarity and focus on the vegetables.

Applications:
Vegetable Classification Models
Automated Produce Recognition Systems
Computer Vision Benchmarking
Educational and Agricultural Research
DOI: 10.17632/b9rvg4f2st.3
title: Vegetable Image Dataset for Classification Models: A Bangladeshi Perspective

description: Dataset overview:
This dataset includes a total of 3115 raw images representing various vegetables commonly found in Bangladesh, designed for machine learning, computer vision research, and agricultural studies.

Dataset Breakdown by Vegetable Type:
Potato: 272 images
Onion: 357 images
Green Chili: 497 images
Garlic: 235 images
Radish: 310 images
Bean: 454 images
Ladies Finger : 213 images
Cucumber: 232 images
Pointed Gourd: 157 images
Bitter Melon: 132 images
Brinjal : 120 images
Tomato: 136 images

Data Source:
The images were captured using mobile phone cameras, and the backgrounds were removed to enhance the clarity and focus on the vegetables.

Applications:
Vegetable Classification Models
Automated Produce Recognition Systems
Computer Vision Benchmarking
Educational and Agricultural Research
DOI: 10.17632/b9rvg4f2st.4
title: Vegetable Image Dataset for Classification Models: A Bangladeshi Perspective

description: Dataset overview:
This dataset includes a total of 4319 raw images representing various vegetables commonly found in Bangladesh, designed for machine learning, computer vision research, and agricultural studies.

Dataset Breakdown by Vegetable Type:
Potato: 365 images
Onion: 357 images
Green Chili: 497 images
Garlic: 349 images
Radish: 310 images
Bean: 454 images
Ladies Finger : 308 images
Cucumber: 342 images
Pointed Gourd: 329 images
Bitter Melon: 306 images
Brinjal : 373 images
Tomato: 329 images

Data Source:
The images were captured using mobile phone cameras and kept in their original form without any modifications, ensuring the preservation of natural backgrounds for better machine learning adaptability.

Applications:
Vegetable Classification Models
Automated Produce Recognition Systems
Computer Vision Benchmarking
Educational and Agricultural Research
DOI: 10.17632/94nnmkjjxj.1
title: Supplemental Survey Methods

description: Survey methods for "A National Cross-Sectional Survey of Skin of Color Dermatology Research Fellowships: Structure and Residency Match Outcomes"
DOI: 10.17632/bfdx53jrzx.1
title: Experimental Raw Data for Nitrogen Metabolism and Excretion in Tropical Planktonic Foraminifera

description: This data contains experimental raw data for incubation experiments tracking nitrogen metabolism and excretion in tropical planktonic foraminifera. Sheet 1 contains all information on the cultured specimens. Sheet 2 includes changes in ammonium and total dissolved nitrogen concentrations in culture experiments, calculations of accumulated ammonium excretion and diel changes in ammonium excretion. Sheet 3 contains information on Artemia uptake, NH4+ excretion, N content, and biomass δ15N of the specimens used for calculating trophic effect.
DOI: 10.15468/dl.gazdfu
title: Occurrence Download

description: A dataset containing 7296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.91335 19.29481,-99.92597 19.28219,-99.93784 19.26958,-99.9512 19.25176,-99.94675 19.23247,-99.93413 19.21094,-99.923 19.182,-99.91186 19.16938,-99.89034 19.15528,-99.87401 19.14785,-99.86733 19.13672,-99.86065 19.1152,-99.88069 19.10332,-99.8755 19.07215,-99.87847 19.05062,-99.87401 19.04172,-99.83319 19.03058,-99.77975 19.01871,-99.72854 19.02094,-99.68178 19.03949,-99.66471 19.07066,-99.65803 19.11297,-99.66545 19.16789,-99.7033 19.205,-99.73373 19.21465,-99.77381 19.24286,-99.80424 19.26661,-99.82503 19.28368,-99.87327 19.30817,-99.91335 19.29481))",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 7296 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002045-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mg64h2j7nr.1
title: Women in Urban Public Spaces: Lived Experiences through a Safety Audit Approach

description: This study focusses on women’s safety and their access to urban public spaces, particularly the public spaces of Delhi, India. The focus of the study is the New Delhi district. The participants chosen were exclusively women from varied backgrounds in terms of the nature of work that they did/their occupation, socio –economic grouping and age. This study employs women’s safety audit as a participatory tool. Before conducting the audit, 10 categories of locations were decided upon, for the reason that they constitute parts of the city’s public space that women use relatively more actively and are therefore more likely to be seen in.
These locations are – University Areas, Hospitals, Open Spaces – Parks, for instance, Tourist Spots, Schools, Residential Areas, Markets, Offices/Workspaces/Commercial Complexes, Places of Worship and Industrial areas. 
For the purpose of conducting the safety audit, the following three tools were used –
a. Physical Checklist - prepared in order to gauge how accessible and safe select locations are in terms of their -
i) Physical Characteristics – such as those of ‘Lighting, Signage, Visibility, Isolation, Escape Routes and Maintenance’;
ii) Usage of Spaces – who uses them and how; and how the same affects the level of comfort/safety that women experience in the concerned space;
iii) ‘Social Policing’, or the presence of people around (‘eyes on the street’), at different times during the day.
b. Pilot Study - In order to check the feasibility of the checklist, a pilot study was conducted in parts of Dwarka, on different days and at different times. Undertaking the said activity helped us become familiar with how to go about using the checklist, while also highlighting areas that required modification in order to make the current study more reflective of the ground reality. Parama Mitra’s physical checklist served as a primary reference for the same.
c. Street Survey cum Personal Interview – conducted for learning perceptions of women on the street, with regard to how safe they feel while walking by, using the space and being there on a regular basis. 
The structured questionnaire method has been used for the said purpose. Based on the type and function of location being studied, questions in the questionnaire were modified to account for the differences being reflected across space. These were then distributed to women randomly and their responses were recorded. The data collected has been analysed thematically as well as quantitatively. The findings of the study varied for different locations on account of their mobility in the city, experiences of harassment/crime against women, precautions taken, access to technology and communication, awareness regarding safety generating mechanism and safety scores.
DOI: 10.17632/jb49jwmdwp.1
title: Dataset on the use of biostimulants in strawberry cultivation under tropical

description: The application of biostimulants presents a viable strategy for enhancing strawberry productivity and fruit quality under tropical conditions. These organic substances can improve nutrient uptake, stimulate plant growth, increase stress tolerance, and enhance overall fruit quality. The strawberry production system in Paraguay is characterized by low yields, and producers lack access to the new varieties available. The objective of this research was to assess how different biostimulant doses affect the productivity and quality of strawberry varieties. The experiment was conducted at the National University of Asunción's Horti-Fruit Center, Faculty of Agrarian Sciences, during March-July 2022. The treatments consisted of a combination of seven varieties of strawberry with three levels of biostimulants. The experimental design was subdivided into plots with a bifactorial arrangement (7x3), where Factor I was the three doses and Factor II was the seven varieties. Each treatment had four repetitions, and each experimental unit consisted of four plants. The variables evaluated were commercial fresh mass of fruits per plant, total and commercial yield per m2, total and commercial number of fruits per plant, average fruit mass, average commercial fruit mass, diameter and length of the fruit, and content of soluble solids. Totals, titratable acidity, pH and firmness. The data were subjected to analysis of variance and the Tukey test at 5% error.
DOI: 10.17632/jb49jwmdwp.2
title: Dataset on the use of biostimulants in strawberry cultivation under tropical

description: The application of biostimulants presents a viable strategy for enhancing strawberry productivity and fruit quality under tropical conditions. These organic substances can improve nutrient uptake, stimulate plant growth, increase stress tolerance, and enhance overall fruit quality. The strawberry production system in Paraguay is characterized by low yields, and producers lack access to the new varieties available. The objective of this research was to assess how different biostimulant doses affect the productivity and quality of strawberry varieties. The experiment was conducted at the National University of Asunción's Horti-Fruit Center, Faculty of Agrarian Sciences, during March-July 2022. The treatments consisted of a combination of seven varieties of strawberry with three levels of biostimulants. The experimental design was subdivided into plots with a bifactorial arrangement (7x3), where Factor I was the three doses and Factor II was the seven varieties. Each treatment had four repetitions, and each experimental unit consisted of four plants. The variables evaluated were commercial fresh mass of fruits per plant, total and commercial yield per m2, total and commercial number of fruits per plant, average fruit mass, average commercial fruit mass, diameter and length of the fruit, and content of soluble solids. Totals, titratable acidity, pH and firmness. The data were subjected to analysis of variance and the Tukey test at 5% error.
DOI: 10.17632/jb49jwmdwp.3
title: Dataset on the use of biostimulants in strawberry cultivation under tropical

description: The application of biostimulants presents a viable strategy for enhancing strawberry productivity and fruit quality under tropical conditions. These organic substances can improve nutrient uptake, stimulate plant growth, increase stress tolerance, and enhance overall fruit quality. The strawberry production system in Paraguay is characterized by low yields, and producers lack access to the new varieties available. The objective of this research was to assess how different biostimulant doses affect the productivity and quality of strawberry varieties. The experiment was conducted at the National University of Asunción's Horti-Fruit Center, Faculty of Agrarian Sciences, during March-July 2022. The treatments consisted of a combination of seven varieties of strawberry with three levels of biostimulants. The experimental design was subdivided into plots with a bifactorial arrangement (7x3), where Factor I was the three doses and Factor II was the seven varieties. Each treatment had four repetitions, and each experimental unit consisted of four plants. The variables evaluated were commercial fresh mass of fruits per plant, total and commercial yield per m2, total and commercial number of fruits per plant, average fruit mass, average commercial fruit mass, diameter and length of the fruit, and content of soluble solids. Totals, titratable acidity, pH and firmness. The data were subjected to analysis of variance and the Tukey test at 5% error.
DOI: 10.17632/jb49jwmdwp.4
title: Dataset on the use of biostimulants in strawberry cultivation under tropical

description: The application of biostimulants presents a viable strategy for enhancing strawberry productivity and fruit quality under tropical conditions. These organic substances can improve nutrient uptake, stimulate plant growth, increase stress tolerance, and enhance overall fruit quality. The strawberry production system in Paraguay is characterized by low yields, and producers lack access to the new varieties available. The objective of this research was to assess how different biostimulant doses affect the productivity and quality of strawberry varieties. The experiment was conducted at the National University of Asunción's Horti-Fruit Center, Faculty of Agrarian Sciences, during March-July 2022. The treatments consisted of a combination of seven varieties of strawberry with three levels of biostimulants. The experimental design was subdivided into plots with a bifactorial arrangement (7x3), where Factor I was the three doses and Factor II was the seven varieties. Each treatment had four repetitions, and each experimental unit consisted of four plants. The variables evaluated were commercial fresh mass of fruits per plant, total and commercial yield per m2, total and commercial number of fruits per plant, average fruit mass, average commercial fruit mass, diameter and length of the fruit, and content of soluble solids. Totals, titratable acidity, pH and firmness. The data were subjected to analysis of variance and the Tukey test at 5% error.
DOI: 10.57830/2308543
title: Using field observations and high-tech tracking technology to identify golden eagle migration flyways

description: Web store on golden eagle migration in Wrangell-St. Elias National Park and Preserve
DOI: 10.17866/rd.salford.28443968
title: 20/01/2025 - Wigan and Leigh National College Podcast

description: Lecture on Bessie Head by Jade Munslow Ong<br>Followed by National College Podcast led by Jade Munslow Ong, accompanied by Noah Singh-Harris and Jimmy Ewing's media student Sophie Hollis<br><br>Number of students: 12<br>Student and Teacher Questionnaires + Postcards collected
DOI: 10.15468/dl.2asnzh
title: Occurrence Download

description: A dataset containing 2957 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA.1_1",
 "TaxonKey is Melastomataceae"
 ]
}

 The dataset includes 2957 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002047-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14894610
title: Hydrogen's Role in Expanding Renewable Energy and Reducing Carbon Emissions in Texas

description: This dataset contains all input data and results published in the International Journal of Hydrogen Energy under the title Hydrogen's Role in Expanding Renewable Energy and Reducing Carbon Emissions in Texas.
DOI: 10.5281/zenodo.14894611
title: Hydrogen's Role in Expanding Renewable Energy and Reducing Carbon Emissions in Texas

description: This dataset contains all input data and results published in the International Journal of Hydrogen Energy under the title Hydrogen's Role in Expanding Renewable Energy and Reducing Carbon Emissions in Texas.
DOI: 10.17632/bsmyjymt2b
title: Economic Strategies for Climate Resilience: From Academic Insights to Actionable Adaptation

description: This article explores the transformative potential of economic strategies for climate adaptation, highlighting how advanced research methodologies—such as machine learning, econometric modeling, and GIS-based analyses—can bridge the gap between theoretical insights and actionable, locally driven policies. By critically examining geographical disparities in adaptation research, the study underscores the need for inclusive approaches that empower vulnerable communities. It also emphasizes the importance of interdisciplinary collaboration, stakeholder engagement, and international cooperation in developing robust adaptation measures. Through detailed case studies and empirical data, the article provides a comprehensive roadmap for integrating adaptation strategies into broader development agendas, ultimately promoting economic resilience and social equity in the face of climate change.
DOI: 10.17632/bsmyjymt2b.1
title: Economic Strategies for Climate Resilience: From Academic Insights to Actionable Adaptation

description: This article explores the transformative potential of economic strategies for climate adaptation, highlighting how advanced research methodologies—such as machine learning, econometric modeling, and GIS-based analyses—can bridge the gap between theoretical insights and actionable, locally driven policies. By critically examining geographical disparities in adaptation research, the study underscores the need for inclusive approaches that empower vulnerable communities. It also emphasizes the importance of interdisciplinary collaboration, stakeholder engagement, and international cooperation in developing robust adaptation measures. Through detailed case studies and empirical data, the article provides a comprehensive roadmap for integrating adaptation strategies into broader development agendas, ultimately promoting economic resilience and social equity in the face of climate change.
DOI: 10.15468/dl.769q5h
title: Occurrence Download

description: A dataset containing 328 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Schroederichthys chilensis (Guichenot, 1848))"
 ]
}

 The dataset includes 328 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002049-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5b5f55c6b2.1
title: Characterizing Extreme Compositions on the Moon Using Thermal Infrared Spectroscopy

description: Files used in this study
DOI: 10.6073/pasta/1afc2c242ef19da2d1e8489b7c99db5e
title: Chlorophyll-a concentrations in discrete water column samples collected from lakes in the McMurdo Dry Valleys, Antarctica (1993-2023, ongoing)

description: An important part of the McMurdo Long Term Ecological Research (LTER) project is monitoring of spatial and temporal patterns, and processes that control primary production in perennial ice-covered lakes. This data package addresses this core area of research by quantifying chlorophyll-a concentrations within specific depths along the water column of several lakes located across the McMurdo Dry Valleys region of Antarctica.
DOI: 10.15468/dl.hgxauh
title: Occurrence Download

description: A dataset containing 1560970 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Australian Museum provider for OZCAM"
 ]
}

 The dataset includes 1560970 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002046-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjtf66
title: Occurrence Download

description: A dataset containing 868 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Sympterygia brevicaudata (Cope, 1877))"
 ]
}

 The dataset includes 868 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002051-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9k8b9hykr5
title: Fam96a-RNA-seq and lipidomics

description: Data of Fam96a-RNA-seq and lipidomics
DOI: 10.17632/9k8b9hykr5.1
title: Fam96a-RNA-seq and lipidomics

description: Data of Fam96a-RNA-seq and lipidomics