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

description: A dataset containing 46542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Luzula nivea (Nathh.) DC., Luzula nivea Baumg., 1817, Luzula nivea subsp. albida (Hoffm.) Bonnier & Layens, Luzula nivea var. angustata (Asch. & Graebn.) Rouy, Luzula nivea var. minuta Beyer, Luzula nivea subsp. angustata Asch. & Graebn., Luzula nivea var. pallidiflora Schur, Luzula nivea var. rubescens Favrat, Luzula nivea var. livida Desv., Luzula nivea var. rubella Mert. & W.D.J.Koch, Luzula nivea subsp. pedemontana (Boiss. & Reut.) Bonnier & Layens)"
 ]
}

 The dataset includes 46542 records from 465 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083409-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zwerj
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene macrodonta Boiss.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288524-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.523xyx
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ornithoica stipituri (Schiner, 1868))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083418-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72vfxz
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus elatior Focke",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290853-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86xhau
title: Occurrence Download

description: A dataset containing 1995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senecio pyrenaicus L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1995 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288757-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72cqk6
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myosotis michaelae Stepánková",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 154 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299200-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74ux63
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthemis abrotanifolia (Willd.) Guss.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0287704-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6twqw6
title: Occurrence Download

description: A dataset containing 30579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudofumaria lutea (L.) Borkh.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 30579 records from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292922-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ex594a
title: Occurrence Download

description: A dataset containing 1018 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adenocarpus viscosus (Willd.) Webb & Berthel."
 ]
}

 The dataset includes 1018 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083419-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cmw7n
title: Occurrence Download

description: A dataset containing 431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Puccinellia nutkaensis (J.Presl) Fernald & Weath.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 431 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0416492-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83hgqv
title: Occurrence Download

description: A dataset containing 2915 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudosasa japonica (Siebold & Zucc. ex Steud.) Makino ex Nakai",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2915 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292913-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2sj6wu
title: Occurrence Download

description: A dataset containing 256218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pilosella officinarum Vaill.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 256218 records from 612 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262368-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vdtpthvz87
title: Sediment Source Tracing in Nangqian Basin Using Detrital Zircons: Insights into River and Paleoclimate Evolution

description: Table 1.The zircon U-Pb age data set is derived from detrital zircons within sediments of different periods in the Nangqian Basin, located in the upper reaches of the Mekong River.
DOI: 10.17632/vdtpthvz87.1
title: Sediment Source Tracing in Nangqian Basin Using Detrital Zircons: Insights into River and Paleoclimate Evolution

description: Table 1.The zircon U-Pb age data set is derived from detrital zircons within sediments of different periods in the Nangqian Basin, located in the upper reaches of the Mekong River.
DOI: 10.15468/dl.fc4rek
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus fontinalis",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 103 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022776-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqjtpt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus fontinalis",
 "Country is Lithuania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022775-250717081556266/datasets/export for details.
DOI: 10.17632/skvrd2s9gg
title: A dataset of medicinal plant leaves from Bangladesh

description: This dataset contains a collection of 1,094 original JPG images of medicinal leaves, captured in natural conditions from the rural jungle area of Guadanga village, Phulpur, Mymensingh, Bangladesh. The images are organized into six folders, each representing a distinct and commonly found medicinal plant species:

• Centella Asiatica

• Coccinia Grandis

• Eclipta Prostrata

• Mikania Micrantha

• Murraya Koenigii

• Stephania Japonica

The original leaf images were captured using two high-resolution smartphone cameras — Google Pixel 5 and Google Pixel 6a — to ensure clear and detailed visuals suitable for a variety of machine learning and image processing tasks. All images are unprocessed, making the dataset ideal for researchers who wish to work with real-world, raw image data.

To support the development of deeper and more robust deep learning models, this dataset also includes 2,188 augmented JPG images, generated from the original set using standard image augmentation techniques. These augmentations help improve generalization and model performance on complex leaf classification tasks.

Dataset Summary:
Total Images:

Original: 1,094 JPG images

Augmented: 2,188 JPG images

Plant Classes: 6 distinct medicinal plant species

Image Format: JPG

Image Organization: Organized into 6 folders named after plant species

Capture Devices: Google Pixel 5 and Google Pixel 6a

Source Location: Jungle of Guadanga, Phulpur, Mymensingh, Bangladesh

Purpose: Suitable for tasks such as medicinal plant classification, leaf recognition, image segmentation, and deep learning-based botanical analysis.

This dataset provides a rich and realistic foundation for researchers and practitioners working in domains such as plant pathology, botany, herbal medicine identification, and AI-driven agriculture.
DOI: 10.17632/skvrd2s9gg.3
title: A dataset of medicinal plant leaves from Bangladesh

description: This dataset contains a collection of 1,094 original JPG images of medicinal leaves, captured in natural conditions from the rural jungle area of Guadanga village, Phulpur, Mymensingh, Bangladesh. The images are organized into six folders, each representing a distinct and commonly found medicinal plant species:

• Centella Asiatica

• Coccinia Grandis

• Eclipta Prostrata

• Mikania Micrantha

• Murraya Koenigii

• Stephania Japonica

The original leaf images were captured using two high-resolution smartphone cameras — Google Pixel 5 and Google Pixel 6a — to ensure clear and detailed visuals suitable for a variety of machine learning and image processing tasks. All images are unprocessed, making the dataset ideal for researchers who wish to work with real-world, raw image data.

To support the development of deeper and more robust deep learning models, this dataset also includes 2,188 augmented JPG images, generated from the original set using standard image augmentation techniques. These augmentations help improve generalization and model performance on complex leaf classification tasks.

Dataset Summary:
Total Images:

Original: 1,094 JPG images

Augmented: 2,188 JPG images

Plant Classes: 6 distinct medicinal plant species

Image Format: JPG

Image Organization: Organized into 6 folders named after plant species

Capture Devices: Google Pixel 5 and Google Pixel 6a

Source Location: Jungle of Guadanga, Phulpur, Mymensingh, Bangladesh

Purpose: Suitable for tasks such as medicinal plant classification, leaf recognition, image segmentation, and deep learning-based botanical analysis.

This dataset provides a rich and realistic foundation for researchers and practitioners working in domains such as plant pathology, botany, herbal medicine identification, and AI-driven agriculture.
DOI: 10.15468/dl.rdq8fa
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus fontinalis",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022777-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p66zpm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Mionectes oleagineus)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022778-250717081556266/datasets/export for details.
DOI: 10.5281/zenodo.16277358
title: REASSESSING THE LINK BETWEEN SOLUBLE SOLIDS AND SUGARS IN MELON: FTIR MODELS AS AN ALTERNATIVE TOOL

description: REASSESSING THE LINK BETWEEN SOLUBLE SOLIDS AND SUGARS IN MELON: FTIR MODELS AS AN ALTERNATIVE TOOL

Salvador Rosellóa, Ana Pérez de Castrob, Belén Picóc, María García-Cabrerac, Jaime Cebolla-Cornejob*

 

aJoint Research Unit UJI/UPV - Improvement of Agri-Food Quality, Department de Ciències Agràries i del Medi Natural, Universitat Jaume I, Avda. Sos Baynat s/n, 12071, Castellón, Spain

bJoint Research Unit UJI/UPV - Improvement of Agri-Food Quality, COMAV, Universitat Politècnica de València, Cno. de Vera, s.n, 46022, València, Spain

cCOMAV, Instituto de Conservación y Mejora de la Agrodiversidad, Universitat Politècnica de València, Cno. de Vera, s.n, 46022, València, Spain

*Corresponding author: jaicecor@upv.es

 

ABSTRACT 

Soluble solids content (SSC), expressed in °Brix, has traditionally been used as a proxy for sugar content in melon breeding and quality control. However, in a diverse set of Ibericus melons, only moderate correlations (R² ≈ 0.60) were found between SSC and total sugars or sucrose, and no correlation was observed with hexose content or the hexose-to-sucrose ratio. Moreover, the sensitivity of SSC under high selection pressure remained below 50–60%. In contrast, FTIR models calibrated for specific trials predicted sucrose, glucose, fructose, citric acid, total sugars, sucrose equivalents, and the hexose-to-sucrose ratio with mean R²p values of 0.73–0.88 and %RMSEP values of 3.5–8.9%, outperforming previous NIR and FTIR models. General models, though trained on larger datasets, performed similarly to the weakest specific models. Trial-specific models validated on external datasets achieved R²p values of 0.79–0.94 (mean 0.84) and %RMSEP values of 3.6–28.7% (mean 11%), without requiring recalibration. FTIR thus offers a robust alternative to SSC for high-throughput phenotyping.

 

Keywords: soluble solids content, brix, breeding, FT-MIR, spectroscopy, selection, Cucumis melo L.

FUNDING SOURCES

Funding was partially provided by MCIN/AEI/10.13039/501100011033/ and by "ERDF: A way of making Europe" grants AGL2014-53398-C2-2-R, AGL2017-85563-C2-1-R-AR, PID2020-116055RB-C21 and PID2023-151202OB-C21, and by grant PROMETEO/2021/072 (to promote excellence groups) funded by Conselleria de Educación, Universidades y Empleo (Generalitat Valenciana, Spain).
DOI: 10.5281/zenodo.16277359
title: REASSESSING THE LINK BETWEEN SOLUBLE SOLIDS AND SUGARS IN MELON: FTIR MODELS AS AN ALTERNATIVE TOOL

description: REASSESSING THE LINK BETWEEN SOLUBLE SOLIDS AND SUGARS IN MELON: FTIR MODELS AS AN ALTERNATIVE TOOL

Salvador Rosellóa, Ana Pérez de Castrob, Belén Picóc, María García-Cabrerac, Jaime Cebolla-Cornejob*

 

aJoint Research Unit UJI/UPV - Improvement of Agri-Food Quality, Department de Ciències Agràries i del Medi Natural, Universitat Jaume I, Avda. Sos Baynat s/n, 12071, Castellón, Spain

bJoint Research Unit UJI/UPV - Improvement of Agri-Food Quality, COMAV, Universitat Politècnica de València, Cno. de Vera, s.n, 46022, València, Spain

cCOMAV, Instituto de Conservación y Mejora de la Agrodiversidad, Universitat Politècnica de València, Cno. de Vera, s.n, 46022, València, Spain

*Corresponding author: jaicecor@upv.es

 

ABSTRACT 

Soluble solids content (SSC), expressed in °Brix, has traditionally been used as a proxy for sugar content in melon breeding and quality control. However, in a diverse set of Ibericus melons, only moderate correlations (R² ≈ 0.60) were found between SSC and total sugars or sucrose, and no correlation was observed with hexose content or the hexose-to-sucrose ratio. Moreover, the sensitivity of SSC under high selection pressure remained below 50–60%. In contrast, FTIR models calibrated for specific trials predicted sucrose, glucose, fructose, citric acid, total sugars, sucrose equivalents, and the hexose-to-sucrose ratio with mean R²p values of 0.73–0.88 and %RMSEP values of 3.5–8.9%, outperforming previous NIR and FTIR models. General models, though trained on larger datasets, performed similarly to the weakest specific models. Trial-specific models validated on external datasets achieved R²p values of 0.79–0.94 (mean 0.84) and %RMSEP values of 3.6–28.7% (mean 11%), without requiring recalibration. FTIR thus offers a robust alternative to SSC for high-throughput phenotyping.

 

Keywords: soluble solids content, brix, breeding, FT-MIR, spectroscopy, selection, Cucumis melo L.

FUNDING SOURCES

Funding was partially provided by MCIN/AEI/10.13039/501100011033/ and by "ERDF: A way of making Europe" grants AGL2014-53398-C2-2-R, AGL2017-85563-C2-1-R-AR, PID2020-116055RB-C21 and PID2023-151202OB-C21, and by grant PROMETEO/2021/072 (to promote excellence groups) funded by Conselleria de Educación, Universidades y Empleo (Generalitat Valenciana, Spain).
DOI: 10.15468/dl.m6qfj5
title: Occurrence Download

description: A dataset containing 603 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Aloina bifrons"
 ]
}

 The dataset includes 603 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022779-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ue7hj
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orconectes limosus",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022781-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12536242
title: Mahanagar Yatayat Transport Dataset
DOI: 10.17632/yp3fz4szz4
title: 2021 Chinese Medical Licensing Examination

description: Chinese Medical Licensing Examination in 2021
DOI: 10.17632/yp3fz4szz4.1
title: 2021 Chinese Medical Licensing Examination

description: Chinese Medical Licensing Examination in 2021
DOI: 10.15468/dl.sgjwsu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orconectes limosus",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022784-250717081556266/datasets/export for details.
DOI: 10.15468/dl.yyk2pv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orconectes limosus",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022782-250717081556266/datasets/export for details.
DOI: 10.17632/fzhmdk363j
title: The use of AI tools among Chinese international students in Spain.

description: AI-based tools are increasingly being integrated into higher education due to their distinct advantages, and they are transforming students’ learning approaches, particularly for cross-cultural international students. Currently, discussions regarding both the benefits and negative impacts of AI tools are widespread. To reflect the authentic attitudes and perceptions of international students towards AI tools, this study adopts a quantitative approach to survey Chinese students studying in higher education institutions in Spain. The results of data analysis indicate that although AI tools are generally well-received, students express concerns about ethical issues and the potential impact on autonomous learning abilities. In practice, AI tools perform relatively poorly within classroom environments, with most students indicating that such tools are rarely or insufficiently applicable in dynamic learning contexts. Students commonly express expectations that institutions should provide guidance on the use of AI tools and encourage innovation, and they believe that the integration of AI tools should take disciplinary differences into account.
DOI: 10.17632/fzhmdk363j.1
title: The use of AI tools among Chinese international students in Spain.

description: AI-based tools are increasingly being integrated into higher education due to their distinct advantages, and they are transforming students’ learning approaches, particularly for cross-cultural international students. Currently, discussions regarding both the benefits and negative impacts of AI tools are widespread. To reflect the authentic attitudes and perceptions of international students towards AI tools, this study adopts a quantitative approach to survey Chinese students studying in higher education institutions in Spain. The results of data analysis indicate that although AI tools are generally well-received, students express concerns about ethical issues and the potential impact on autonomous learning abilities. In practice, AI tools perform relatively poorly within classroom environments, with most students indicating that such tools are rarely or insufficiently applicable in dynamic learning contexts. Students commonly express expectations that institutions should provide guidance on the use of AI tools and encourage innovation, and they believe that the integration of AI tools should take disciplinary differences into account.
DOI: 10.25574/22992
title: Chandra X-ray Observatory ObsId 22992

description: G32.4+0.1: Nonthermal X-rays from an Old Supernova Remnant?